Pandas Profiling Report

Dataset statistics

Number of variables	62
Number of observations	81
Missing cells	2028
Missing cells (%)	40.4%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	39.4 KiB
Average record size in memory	497.6 B

Variable types

Numeric	12
Categorical	41
Unsupported	9

Alerts

`airdate` has constant value "2020-12-02"	Constant
`_embedded.show.dvdCountry.name` has constant value "Ukraine"	Constant
`_embedded.show.dvdCountry.code` has constant value "UA"	Constant
`_embedded.show.dvdCountry.timezone` has constant value "Europe/Zaporozhye"	Constant
`url` has a high cardinality: 81 distinct values	High cardinality
`name` has a high cardinality: 71 distinct values	High cardinality
`_links.self.href` has a high cardinality: 81 distinct values	High cardinality
`_embedded.show.url` has a high cardinality: 67 distinct values	High cardinality
`_embedded.show.name` has a high cardinality: 66 distinct values	High cardinality
`_embedded.show.premiered` has a high cardinality: 61 distinct values	High cardinality
`_embedded.show.officialSite` has a high cardinality: 59 distinct values	High cardinality
`_embedded.show.image.medium` has a high cardinality: 60 distinct values	High cardinality
`_embedded.show.image.original` has a high cardinality: 60 distinct values	High cardinality
`_embedded.show.summary` has a high cardinality: 53 distinct values	High cardinality
`_embedded.show._links.self.href` has a high cardinality: 67 distinct values	High cardinality
`_embedded.show._links.previousepisode.href` has a high cardinality: 67 distinct values	High cardinality
`id` is highly correlated with `rating.average` and 3 other fields	High correlation
`season` is highly correlated with `_embedded.show.id` and 3 other fields	High correlation
`number` is highly correlated with `rating.average` and 3 other fields	High correlation
`runtime` is highly correlated with `rating.average` and 3 other fields	High correlation
`rating.average` is highly correlated with `id` and 2 other fields	High correlation
`_embedded.show.id` is highly correlated with `season` and 4 other fields	High correlation
`_embedded.show.runtime` is highly correlated with `runtime` and 2 other fields	High correlation
`_embedded.show.averageRuntime` is highly correlated with `runtime` and 2 other fields	High correlation
`_embedded.show.rating.average` is highly correlated with `id` and 7 other fields	High correlation
`_embedded.show.weight` is highly correlated with `_embedded.show.rating.average` and 2 other fields	High correlation
`_embedded.show.webChannel.id` is highly correlated with `_embedded.show.rating.average` and 1 other fields	High correlation
`_embedded.show.externals.tvrage` is highly correlated with `id` and 10 other fields	High correlation
`_embedded.show.externals.thetvdb` is highly correlated with `season` and 5 other fields	High correlation
`_embedded.show.updated` is highly correlated with `_embedded.show.rating.average` and 2 other fields	High correlation
`_embedded.show.network.id` is highly correlated with `id` and 6 other fields	High correlation
`id` is highly correlated with `rating.average` and 2 other fields	High correlation
`season` is highly correlated with `number` and 2 other fields	High correlation
`number` is highly correlated with `season` and 3 other fields	High correlation
`runtime` is highly correlated with `rating.average` and 3 other fields	High correlation
`rating.average` is highly correlated with `id` and 2 other fields	High correlation
`_embedded.show.id` is highly correlated with `_embedded.show.rating.average` and 3 other fields	High correlation
`_embedded.show.runtime` is highly correlated with `runtime` and 2 other fields	High correlation
`_embedded.show.averageRuntime` is highly correlated with `runtime` and 2 other fields	High correlation
`_embedded.show.rating.average` is highly correlated with `id` and 7 other fields	High correlation
`_embedded.show.weight` is highly correlated with `_embedded.show.rating.average` and 2 other fields	High correlation
`_embedded.show.webChannel.id` is highly correlated with `_embedded.show.rating.average` and 1 other fields	High correlation
`_embedded.show.externals.tvrage` is highly correlated with `id` and 10 other fields	High correlation
`_embedded.show.externals.thetvdb` is highly correlated with `_embedded.show.id` and 3 other fields	High correlation
`_embedded.show.updated` is highly correlated with `_embedded.show.rating.average` and 1 other fields	High correlation
`_embedded.show.network.id` is highly correlated with `_embedded.show.id` and 4 other fields	High correlation
`id` is highly correlated with `rating.average` and 2 other fields	High correlation
`season` is highly correlated with `_embedded.show.rating.average` and 2 other fields	High correlation
`number` is highly correlated with `rating.average` and 2 other fields	High correlation
`runtime` is highly correlated with `rating.average` and 3 other fields	High correlation
`rating.average` is highly correlated with `id` and 2 other fields	High correlation
`_embedded.show.id` is highly correlated with `_embedded.show.rating.average` and 2 other fields	High correlation
`_embedded.show.runtime` is highly correlated with `runtime` and 2 other fields	High correlation
`_embedded.show.averageRuntime` is highly correlated with `runtime` and 2 other fields	High correlation
`_embedded.show.rating.average` is highly correlated with `id` and 7 other fields	High correlation
`_embedded.show.weight` is highly correlated with `_embedded.show.rating.average` and 2 other fields	High correlation
`_embedded.show.webChannel.id` is highly correlated with `_embedded.show.rating.average` and 1 other fields	High correlation
`_embedded.show.externals.tvrage` is highly correlated with `id` and 10 other fields	High correlation
`_embedded.show.externals.thetvdb` is highly correlated with `season` and 3 other fields	High correlation
`_embedded.show.updated` is highly correlated with `_embedded.show.rating.average` and 1 other fields	High correlation
`_embedded.show.network.id` is highly correlated with `_embedded.show.id` and 4 other fields	High correlation
`id` is highly correlated with `url` and 23 other fields	High correlation
`url` is highly correlated with `id` and 46 other fields	High correlation
`name` is highly correlated with `id` and 38 other fields	High correlation
`season` is highly correlated with `url` and 29 other fields	High correlation
`number` is highly correlated with `url` and 33 other fields	High correlation
`type` is highly correlated with `url` and 15 other fields	High correlation
`airtime` is highly correlated with `url` and 37 other fields	High correlation
`airstamp` is highly correlated with `url` and 40 other fields	High correlation
`runtime` is highly correlated with `url` and 39 other fields	High correlation
`summary` is highly correlated with `id` and 37 other fields	High correlation
`rating.average` is highly correlated with `url` and 5 other fields	High correlation
`image.medium` is highly correlated with `id` and 36 other fields	High correlation
`image.original` is highly correlated with `id` and 36 other fields	High correlation
`_links.self.href` is highly correlated with `id` and 46 other fields	High correlation
`_embedded.show.id` is highly correlated with `id` and 39 other fields	High correlation
`_embedded.show.url` is highly correlated with `id` and 45 other fields	High correlation
`_embedded.show.name` is highly correlated with `id` and 45 other fields	High correlation
`_embedded.show.type` is highly correlated with `url` and 42 other fields	High correlation
`_embedded.show.language` is highly correlated with `url` and 38 other fields	High correlation
`_embedded.show.status` is highly correlated with `url` and 28 other fields	High correlation
`_embedded.show.runtime` is highly correlated with `url` and 38 other fields	High correlation
`_embedded.show.averageRuntime` is highly correlated with `url` and 37 other fields	High correlation
`_embedded.show.premiered` is highly correlated with `id` and 45 other fields	High correlation
`_embedded.show.ended` is highly correlated with `id` and 33 other fields	High correlation
`_embedded.show.officialSite` is highly correlated with `id` and 45 other fields	High correlation
`_embedded.show.schedule.time` is highly correlated with `url` and 34 other fields	High correlation
`_embedded.show.rating.average` is highly correlated with `url` and 21 other fields	High correlation
`_embedded.show.weight` is highly correlated with `url` and 30 other fields	High correlation
`_embedded.show.webChannel.id` is highly correlated with `url` and 32 other fields	High correlation
`_embedded.show.webChannel.name` is highly correlated with `url` and 42 other fields	High correlation
`_embedded.show.webChannel.officialSite` is highly correlated with `url` and 34 other fields	High correlation
`_embedded.show.externals.thetvdb` is highly correlated with `url` and 38 other fields	High correlation
`_embedded.show.externals.imdb` is highly correlated with `id` and 44 other fields	High correlation
`_embedded.show.image.medium` is highly correlated with `id` and 45 other fields	High correlation
`_embedded.show.image.original` is highly correlated with `id` and 45 other fields	High correlation
`_embedded.show.summary` is highly correlated with `id` and 45 other fields	High correlation
`_embedded.show.updated` is highly correlated with `url` and 28 other fields	High correlation
`_embedded.show._links.self.href` is highly correlated with `id` and 45 other fields	High correlation
`_embedded.show._links.previousepisode.href` is highly correlated with `id` and 45 other fields	High correlation
`_embedded.show.webChannel.country.name` is highly correlated with `url` and 37 other fields	High correlation
`_embedded.show.webChannel.country.code` is highly correlated with `url` and 37 other fields	High correlation
`_embedded.show.webChannel.country.timezone` is highly correlated with `url` and 37 other fields	High correlation
`_embedded.show._links.nextepisode.href` is highly correlated with `id` and 31 other fields	High correlation
`_embedded.show.network.id` is highly correlated with `id` and 33 other fields	High correlation
`_embedded.show.network.name` is highly correlated with `id` and 36 other fields	High correlation
`_embedded.show.network.country.name` is highly correlated with `id` and 36 other fields	High correlation
`_embedded.show.network.country.code` is highly correlated with `id` and 36 other fields	High correlation
`_embedded.show.network.country.timezone` is highly correlated with `id` and 36 other fields	High correlation
`number` has 1 (1.2%) missing values	Missing
`runtime` has 6 (7.4%) missing values	Missing
`summary` has 68 (84.0%) missing values	Missing
`rating.average` has 77 (95.1%) missing values	Missing
`image.medium` has 67 (82.7%) missing values	Missing
`image.original` has 67 (82.7%) missing values	Missing
`_embedded.show.language` has 1 (1.2%) missing values	Missing
`_embedded.show.runtime` has 20 (24.7%) missing values	Missing
`_embedded.show.averageRuntime` has 4 (4.9%) missing values	Missing
`_embedded.show.ended` has 46 (56.8%) missing values	Missing
`_embedded.show.officialSite` has 13 (16.0%) missing values	Missing
`_embedded.show.rating.average` has 75 (92.6%) missing values	Missing
`_embedded.show.network` has 81 (100.0%) missing values	Missing
`_embedded.show.webChannel.id` has 2 (2.5%) missing values	Missing
`_embedded.show.webChannel.name` has 2 (2.5%) missing values	Missing
`_embedded.show.webChannel.country` has 81 (100.0%) missing values	Missing
`_embedded.show.webChannel.officialSite` has 32 (39.5%) missing values	Missing
`_embedded.show.dvdCountry` has 81 (100.0%) missing values	Missing
`_embedded.show.externals.tvrage` has 79 (97.5%) missing values	Missing
`_embedded.show.externals.thetvdb` has 28 (34.6%) missing values	Missing
`_embedded.show.externals.imdb` has 49 (60.5%) missing values	Missing
`_embedded.show.image.medium` has 7 (8.6%) missing values	Missing
`_embedded.show.image.original` has 7 (8.6%) missing values	Missing
`_embedded.show.summary` has 16 (19.8%) missing values	Missing
`image` has 81 (100.0%) missing values	Missing
`_embedded.show.webChannel.country.name` has 38 (46.9%) missing values	Missing
`_embedded.show.webChannel.country.code` has 38 (46.9%) missing values	Missing
`_embedded.show.webChannel.country.timezone` has 38 (46.9%) missing values	Missing
`_embedded.show._links.nextepisode.href` has 75 (92.6%) missing values	Missing
`_embedded.show.network.id` has 73 (90.1%) missing values	Missing
`_embedded.show.network.name` has 73 (90.1%) missing values	Missing
`_embedded.show.network.country.name` has 73 (90.1%) missing values	Missing
`_embedded.show.network.country.code` has 73 (90.1%) missing values	Missing
`_embedded.show.network.country.timezone` has 73 (90.1%) missing values	Missing
`_embedded.show.network.officialSite` has 81 (100.0%) missing values	Missing
`_embedded.show.webChannel` has 81 (100.0%) missing values	Missing
`_embedded.show.image` has 81 (100.0%) missing values	Missing
`_embedded.show.dvdCountry.name` has 80 (98.8%) missing values	Missing
`_embedded.show.dvdCountry.code` has 80 (98.8%) missing values	Missing
`_embedded.show.dvdCountry.timezone` has 80 (98.8%) missing values	Missing
`url` is uniformly distributed	Uniform
`name` is uniformly distributed	Uniform
`summary` is uniformly distributed	Uniform
`image.medium` is uniformly distributed	Uniform
`image.original` is uniformly distributed	Uniform
`_links.self.href` is uniformly distributed	Uniform
`_embedded.show.url` is uniformly distributed	Uniform
`_embedded.show.name` is uniformly distributed	Uniform
`_embedded.show.premiered` is uniformly distributed	Uniform
`_embedded.show.officialSite` is uniformly distributed	Uniform
`_embedded.show.externals.tvrage` is uniformly distributed	Uniform
`_embedded.show.image.medium` is uniformly distributed	Uniform
`_embedded.show.image.original` is uniformly distributed	Uniform
`_embedded.show.summary` is uniformly distributed	Uniform
`_embedded.show._links.self.href` is uniformly distributed	Uniform
`_embedded.show._links.previousepisode.href` is uniformly distributed	Uniform
`_embedded.show._links.nextepisode.href` is uniformly distributed	Uniform
`_embedded.show.network.name` is uniformly distributed	Uniform
`_embedded.show.network.country.name` is uniformly distributed	Uniform
`_embedded.show.network.country.code` is uniformly distributed	Uniform
`_embedded.show.network.country.timezone` is uniformly distributed	Uniform
`id` has unique values	Unique
`url` has unique values	Unique
`_links.self.href` has unique values	Unique
`_embedded.show.genres` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.schedule.days` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.network` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.webChannel.country` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.dvdCountry` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`image` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.network.officialSite` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.webChannel` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.image` is an unsupported type, check if it needs cleaning or further analysis	Unsupported

Reproduction

Analysis started	2022-09-06 02:35:56.662599
Analysis finished	2022-09-06 02:36:12.785392
Duration	16.12 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

id
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	81
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2026054.543

Minimum	1945144
Maximum	2386103
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	776.0 B

Quantile statistics

Minimum	1945144
5-th percentile	1965919
Q1	1976155
median	1979362
Q3	2030018
95-th percentile	2205966
Maximum	2386103
Range	440959
Interquartile range (IQR)	53863

Descriptive statistics

Standard deviation	90342.7363
Coefficient of variation (CV)	0.04459047591
Kurtosis	3.432024423
Mean	2026054.543
Median Absolute Deviation (MAD)	7795
Skewness	1.955122666
Sum	164110418
Variance	8161810002
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1972782	1	1.2%
2001104	1	1.2%
1977633	1	1.2%
1977632	1	1.2%
1976186	1	1.2%
1976185	1	1.2%
1976155	1	1.2%
1976154	1	1.2%
1976137	1	1.2%
1976136	1	1.2%
Other values (71)	71	87.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1945144	1	1.2%
1958865	1	1.2%
1960029	1	1.2%
1964493	1	1.2%
1965919	1	1.2%
1968548	1	1.2%
1968549	1	1.2%
1970184	1	1.2%
1971567	1	1.2%
1972782	1	1.2%

Value	Count	Frequency (%)
2386103	1	1.2%
2318096	1	1.2%
2239607	1	1.2%
2205967	1	1.2%
2205966	1	1.2%
2192622	1	1.2%
2182080	1	1.2%
2176119	1	1.2%
2174898	1	1.2%
2166193	1	1.2%

url
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	81
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	776.0 B

https://www.tvmaze.com/episodes/1972782/kontakty-1x28-kontakty-v-telefone-sergea-lazareva-timati-polina-gagarina-vlad-topalov-ida-galic	1
https://www.tvmaze.com/episodes/2001104/red-table-talk-the-estefans-1x08-powerful-life-lessons-from-supreme-court-justice-sonia-sotomayor	1
https://www.tvmaze.com/episodes/1977633/to-love-1x22-episode-22	1
https://www.tvmaze.com/episodes/1977632/to-love-1x21-episode-21	1
https://www.tvmaze.com/episodes/1976186/psych-hunter-1x20-episode-20	1
Other values (76)	76

Length

Max length	140
Median length	105
Mean length	82.20987654
Min length	58

Characters and Unicode

Total characters	6659
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	81 ?
Unique (%)	100.0%

Sample

1st row	https://www.tvmaze.com/episodes/1972782/kontakty-1x28-kontakty-v-telefone-sergea-lazareva-timati-polina-gagarina-vlad-topalov-ida-galic
2nd row	https://www.tvmaze.com/episodes/1979223/kotiki-1x03-seria-3
3rd row	https://www.tvmaze.com/episodes/1971567/mermaid-prince-2x07-episode-7
4th row	https://www.tvmaze.com/episodes/1983072/wan-sheng-jie-2x10-all-products-funds-were-spent-on-this-episode
5th row	https://www.tvmaze.com/episodes/2386103/xian-feng-jian-yu-lu-1x44-episode-44

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/1972782/kontakty-1x28-kontakty-v-telefone-sergea-lazareva-timati-polina-gagarina-vlad-topalov-ida-galic	1	1.2%
https://www.tvmaze.com/episodes/2001104/red-table-talk-the-estefans-1x08-powerful-life-lessons-from-supreme-court-justice-sonia-sotomayor	1	1.2%
https://www.tvmaze.com/episodes/1977633/to-love-1x22-episode-22	1	1.2%
https://www.tvmaze.com/episodes/1977632/to-love-1x21-episode-21	1	1.2%
https://www.tvmaze.com/episodes/1976186/psych-hunter-1x20-episode-20	1	1.2%
https://www.tvmaze.com/episodes/1976185/psych-hunter-1x19-episode-19	1	1.2%
https://www.tvmaze.com/episodes/1976155/new-face-1x14-episode-14	1	1.2%
https://www.tvmaze.com/episodes/1976154/new-face-1x13-episode-13	1	1.2%
https://www.tvmaze.com/episodes/1976137/insect-detective-1x24-episode-24	1	1.2%
https://www.tvmaze.com/episodes/1976136/insect-detective-1x23-episode-23	1	1.2%
Other values (71)	71	87.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/1972782/kontakty-1x28-kontakty-v-telefone-sergea-lazareva-timati-polina-gagarina-vlad-topalov-ida-galic	1	1.2%
https://www.tvmaze.com/episodes/1979223/kotiki-1x03-seria-3	1	1.2%
https://www.tvmaze.com/episodes/1971567/mermaid-prince-2x07-episode-7	1	1.2%
https://www.tvmaze.com/episodes/1983072/wan-sheng-jie-2x10-all-products-funds-were-spent-on-this-episode	1	1.2%
https://www.tvmaze.com/episodes/2386103/xian-feng-jian-yu-lu-1x44-episode-44	1	1.2%
https://www.tvmaze.com/episodes/1985615/yi-nian-yong-heng-1x19-episode-19	1	1.2%
https://www.tvmaze.com/episodes/2030018/dolls-frontline-2x10-episode-10	1	1.2%
https://www.tvmaze.com/episodes/1973540/please-wait-brother-1x19-episode-19	1	1.2%
https://www.tvmaze.com/episodes/1973541/please-wait-brother-1x20-episode-20	1	1.2%
https://www.tvmaze.com/episodes/2066367/chu-feng-yi-dian-shizi-1x04-episode-4	1	1.2%
Other values (71)	71	87.7%

Most occurring characters

Value	Count	Frequency (%)
e	571	8.6%
-	513	7.7%
s	429	6.4%
t	411	6.2%
/	405	6.1%
o	367	5.5%
w	281	4.2%
a	277	4.2%
i	267	4.0%
p	255	3.8%
Other values (30)	2883	43.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4562	68.5%
Decimal Number	936	14.1%
Other Punctuation	648	9.7%
Dash Punctuation	513	7.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	571	12.5%
s	429	9.4%
t	411	9.0%
o	367	8.0%
w	281	6.2%
a	277	6.1%
i	267	5.9%
p	255	5.6%
m	231	5.1%
d	195	4.3%
Other values (16)	1278	28.0%

Decimal Number

Value	Count	Frequency (%)
1	226	24.1%
2	125	13.4%
0	116	12.4%
9	106	11.3%
7	85	9.1%
4	60	6.4%
8	58	6.2%
6	56	6.0%
3	53	5.7%
5	51	5.4%

Other Punctuation

Value	Count	Frequency (%)
/	405	62.5%
.	162	25.0%
:	81	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	513	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4562	68.5%
Common	2097	31.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	571	12.5%
s	429	9.4%
t	411	9.0%
o	367	8.0%
w	281	6.2%
a	277	6.1%
i	267	5.9%
p	255	5.6%
m	231	5.1%
d	195	4.3%
Other values (16)	1278	28.0%

Common

Value	Count	Frequency (%)
-	513	24.5%
/	405	19.3%
1	226	10.8%
.	162	7.7%
2	125	6.0%
0	116	5.5%
9	106	5.1%
7	85	4.1%
:	81	3.9%
4	60	2.9%
Other values (4)	218	10.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6659	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	571	8.6%
-	513	7.7%
s	429	6.4%
t	411	6.2%
/	405	6.1%
o	367	5.5%
w	281	4.2%
a	277	4.2%
i	267	4.0%
p	255	3.8%
Other values (30)	2883	43.3%

name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM

Distinct	71
Distinct (%)	87.7%
Missing	0
Missing (%)	0.0%
Memory size	776.0 B

Episode 19	4
Episode 10	3
Episode 2	2
Episode 7	2
Episode 20	2
Other values (66)	68

Length

Max length	86
Median length	69
Mean length	20.20987654
Min length	4

Characters and Unicode

Total characters	1637
Distinct characters	128
Distinct categories	9 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	64 ?
Unique (%)	79.0%

Sample

1st row	КОНТАКТЫ в телефоне Сергея Лазарева: Тимати, Полина Гагарина, Влад Топалов, Ида Галич
2nd row	Серия 3
3rd row	Episode 7
4th row	All products funds were spent on this episode
5th row	Episode 44

Common Values

Value	Count	Frequency (%)
Episode 19	4	4.9%
Episode 10	3	3.7%
Episode 2	2	2.5%
Episode 7	2	2.5%
Episode 20	2	2.5%
Episode 9	2	2.5%
Episode 14	2	2.5%
Episode 24	1	1.2%
Alkene Redox Reactions	1	1.2%
Episode 1	1	1.2%
Other values (61)	61	75.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
episode	35	12.8%
	5	1.8%
19	4	1.5%
9	3	1.1%
a	3	1.1%
14	3	1.1%
the	3	1.1%
10	3	1.1%
2	3	1.1%
7	3	1.1%
Other values (199)	208	76.2%

Most occurring characters

Value	Count	Frequency (%)
	192	11.7%
e	127	7.8%
o	90	5.5%
i	78	4.8%
s	68	4.2%
a	63	3.8%
d	59	3.6%
t	56	3.4%
r	55	3.4%
p	52	3.2%
Other values (118)	797	48.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1074	65.6%
Uppercase Letter	251	15.3%
Space Separator	192	11.7%
Decimal Number	85	5.2%
Other Punctuation	28	1.7%
Math Symbol	2	0.1%
Close Punctuation	2	0.1%
Open Punctuation	2	0.1%
Dash Punctuation	1	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	127	11.8%
o	90	8.4%
i	78	7.3%
s	68	6.3%
a	63	5.9%
d	59	5.5%
t	56	5.2%
r	55	5.1%
p	52	4.8%
n	42	3.9%
Other values (53)	384	35.8%

Uppercase Letter

Value	Count	Frequency (%)
E	41	16.3%
S	17	6.8%
T	12	4.8%
C	12	4.8%
A	12	4.8%
Т	11	4.4%
B	10	4.0%
D	8	3.2%
О	7	2.8%
M	7	2.8%
Other values (33)	114	45.4%

Decimal Number

Value	Count	Frequency (%)
1	23	27.1%
2	16	18.8%
4	11	12.9%
0	10	11.8%
7	8	9.4%
9	8	9.4%
3	4	4.7%
5	2	2.4%
6	2	2.4%
8	1	1.2%

Other Punctuation

Value	Count	Frequency (%)
,	14	50.0%
:	4	14.3%
.	3	10.7%
&	2	7.1%
"	2	7.1%
!	2	7.1%
/	1	3.6%

Space Separator

Value	Count	Frequency (%)
	192	100.0%

Math Symbol

Value	Count	Frequency (%)
\|	2	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1042	63.7%
Common	312	19.1%
Cyrillic	283	17.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	127	12.2%
o	90	8.6%
i	78	7.5%
s	68	6.5%
a	63	6.0%
d	59	5.7%
t	56	5.4%
r	55	5.3%
p	52	5.0%
n	42	4.0%
Other values (46)	352	33.8%

Cyrillic

Value	Count	Frequency (%)
а	29	10.2%
о	20	7.1%
и	17	6.0%
е	16	5.7%
н	14	4.9%
л	14	4.9%
р	13	4.6%
Т	11	3.9%
к	11	3.9%
в	9	3.2%
Other values (40)	129	45.6%

Common

Value	Count	Frequency (%)
	192	61.5%
1	23	7.4%
2	16	5.1%
,	14	4.5%
4	11	3.5%
0	10	3.2%
7	8	2.6%
9	8	2.6%
:	4	1.3%
3	4	1.3%
Other values (12)	22	7.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1347	82.3%
Cyrillic	283	17.3%
None	7	0.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	192	14.3%
e	127	9.4%
o	90	6.7%
i	78	5.8%
s	68	5.0%
a	63	4.7%
d	59	4.4%
t	56	4.2%
r	55	4.1%
p	52	3.9%
Other values (62)	507	37.6%

Cyrillic

Value	Count	Frequency (%)
а	29	10.2%
о	20	7.1%
и	17	6.0%
е	16	5.7%
н	14	4.9%
л	14	4.9%
р	13	4.6%
Т	11	3.9%
к	11	3.9%
в	9	3.2%
Other values (40)	129	45.6%

None

Value	Count	Frequency (%)
ø	2	28.6%
ó	1	14.3%
í	1	14.3%
á	1	14.3%
æ	1	14.3%
å	1	14.3%

season
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	13
Distinct (%)	16.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	152.2222222

Minimum	1
Maximum	2020
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	776.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	3
95-th percentile	2020
Maximum	2020
Range	2019
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	531.5968162
Coefficient of variation (CV)	3.492241858
Kurtosis	9.210441551
Mean	152.2222222
Median Absolute Deviation (MAD)	0
Skewness	3.313995705
Sum	12330
Variance	282595.175
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
1	49	60.5%
2	9	11.1%
2020	6	7.4%
4	4	4.9%
3	3	3.7%
7	3	3.7%
10	1	1.2%
11	1	1.2%
5	1	1.2%
18	1	1.2%
Other values (3)	3	3.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	49	60.5%
2	9	11.1%
3	3	3.7%
4	4	4.9%
5	1	1.2%
7	3	3.7%
8	1	1.2%
10	1	1.2%
11	1	1.2%
14	1	1.2%

Value	Count	Frequency (%)
2020	6	7.4%
31	1	1.2%
18	1	1.2%
14	1	1.2%
11	1	1.2%
10	1	1.2%
8	1	1.2%
7	3	3.7%
5	1	1.2%
4	4	4.9%

number
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	43
Distinct (%)	53.8%
Missing	1
Missing (%)	1.2%
Infinite	0
Infinite (%)	0.0%
Mean	30.3375

Minimum	1
Maximum	329
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	776.0 B

Quantile statistics

Minimum	1
5-th percentile	1.95
Q1	7
median	15
Q3	30.75
95-th percentile	94.6
Maximum	329
Range	328
Interquartile range (IQR)	23.75

Descriptive statistics

Standard deviation	51.85323586
Coefficient of variation (CV)	1.709212554
Kurtosis	20.69172043
Mean	30.3375
Median Absolute Deviation (MAD)	9
Skewness	4.248861013
Sum	2427
Variance	2688.75807
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
19	5	6.2%
17	4	4.9%
11	4	4.9%
10	4	4.9%
4	4	4.9%
9	4	4.9%
2	4	4.9%
1	4	4.9%
7	3	3.7%
3	3	3.7%
Other values (33)	41	50.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	4	4.9%
2	4	4.9%
3	3	3.7%
4	4	4.9%
5	1	1.2%
6	2	2.5%
7	3	3.7%
8	2	2.5%
9	4	4.9%
10	4	4.9%

Value	Count	Frequency (%)
329	1	1.2%
288	1	1.2%
143	1	1.2%
106	1	1.2%
94	1	1.2%
82	1	1.2%
77	1	1.2%
60	1	1.2%
57	1	1.2%
55	2	2.5%

type
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Memory size	776.0 B

regular	80
significant_special	1

Length

Max length	19
Median length	7
Mean length	7.148148148
Min length	7

Characters and Unicode

Total characters	579
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	1.2%

Sample

1st row	regular
2nd row	regular
3rd row	regular
4th row	regular
5th row	regular

Common Values

Value	Count	Frequency (%)
regular	80	98.8%
significant_special	1	1.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
regular	80	98.8%
significant_special	1	1.2%

Most occurring characters

Value	Count	Frequency (%)
r	160	27.6%
a	82	14.2%
e	81	14.0%
g	81	14.0%
l	81	14.0%
u	80	13.8%
i	4	0.7%
s	2	0.3%
n	2	0.3%
c	2	0.3%
Other values (4)	4	0.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	578	99.8%
Connector Punctuation	1	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	160	27.7%
a	82	14.2%
e	81	14.0%
g	81	14.0%
l	81	14.0%
u	80	13.8%
i	4	0.7%
s	2	0.3%
n	2	0.3%
c	2	0.3%
Other values (3)	3	0.5%

Connector Punctuation

Value	Count	Frequency (%)
_	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	578	99.8%
Common	1	0.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	160	27.7%
a	82	14.2%
e	81	14.0%
g	81	14.0%
l	81	14.0%
u	80	13.8%
i	4	0.7%
s	2	0.3%
n	2	0.3%
c	2	0.3%
Other values (3)	3	0.5%

Common

Value	Count	Frequency (%)
_	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	579	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	160	27.6%
a	82	14.2%
e	81	14.0%
g	81	14.0%
l	81	14.0%
u	80	13.8%
i	4	0.7%
s	2	0.3%
n	2	0.3%
c	2	0.3%
Other values (4)	4	0.7%

airdate
Categorical

CONSTANT
REJECTED

Distinct	1
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Memory size	776.0 B

2020-12-02	81

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	810
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2020-12-02
2nd row	2020-12-02
3rd row	2020-12-02
4th row	2020-12-02
5th row	2020-12-02

Common Values

Value	Count	Frequency (%)
2020-12-02	81	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2020-12-02	81	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	324	40.0%
0	243	30.0%
-	162	20.0%
1	81	10.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	648	80.0%
Dash Punctuation	162	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	324	50.0%
0	243	37.5%
1	81	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	162	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	810	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	324	40.0%
0	243	30.0%
-	162	20.0%
1	81	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	810	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	324	40.0%
0	243	30.0%
-	162	20.0%
1	81	10.0%

airtime
Categorical

HIGH CORRELATION

Distinct	15
Distinct (%)	18.5%
Missing	0
Missing (%)	0.0%
Memory size	776.0 B

	42
20:00	17
12:00	4
10:00	4
06:00	2
Other values (10)	12

Length

Max length	5
Median length	0
Mean length	2.407407407
Min length	0

Characters and Unicode

Total characters	195
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	9.9%

Sample

1st row	12:00
2nd row
3rd row	11:00
4th row	10:00
5th row	10:00

Common Values

Value	Count	Frequency (%)
	42	51.9%
20:00	17	21.0%
12:00	4	4.9%
10:00	4	4.9%
06:00	2	2.5%
21:00	2	2.5%
00:00	2	2.5%
11:00	1	1.2%
05:00	1	1.2%
17:35	1	1.2%
Other values (5)	5	6.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
20:00	17	43.6%
12:00	4	10.3%
10:00	4	10.3%
06:00	2	5.1%
21:00	2	5.1%
00:00	2	5.1%
11:00	1	2.6%
05:00	1	2.6%
17:35	1	2.6%
18:00	1	2.6%
Other values (4)	4	10.3%

Most occurring characters

Value	Count	Frequency (%)
0	101	51.8%
:	39	20.0%
2	25	12.8%
1	18	9.2%
5	4	2.1%
6	2	1.0%
3	2	1.0%
8	2	1.0%
7	1	0.5%
9	1	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	156	80.0%
Other Punctuation	39	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	101	64.7%
2	25	16.0%
1	18	11.5%
5	4	2.6%
6	2	1.3%
3	2	1.3%
8	2	1.3%
7	1	0.6%
9	1	0.6%

Other Punctuation

Value	Count	Frequency (%)
:	39	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	195	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	101	51.8%
:	39	20.0%
2	25	12.8%
1	18	9.2%
5	4	2.1%
6	2	1.0%
3	2	1.0%
8	2	1.0%
7	1	0.5%
9	1	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	195	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	101	51.8%
:	39	20.0%
2	25	12.8%
1	18	9.2%
5	4	2.1%
6	2	1.0%
3	2	1.0%
8	2	1.0%
7	1	0.5%
9	1	0.5%

airstamp
Categorical

HIGH CORRELATION

Distinct	21
Distinct (%)	25.9%
Missing	0
Missing (%)	0.0%
Memory size	776.0 B

2020-12-02T12:00:00+00:00	44
2020-12-02T04:00:00+00:00	7
2020-12-02T11:00:00+00:00	4
2020-12-02T02:00:00+00:00	4
2020-12-02T17:00:00+00:00	3
Other values (16)	19

Length

Max length	25
Median length	25
Mean length	25
Min length	25

Characters and Unicode

Total characters	2025
Distinct characters	13
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13 ?
Unique (%)	16.0%

Sample

1st row	2020-12-02T00:00:00+00:00
2nd row	2020-12-02T00:00:00+00:00
3rd row	2020-12-02T02:00:00+00:00
4th row	2020-12-02T02:00:00+00:00
5th row	2020-12-02T02:00:00+00:00

Common Values

Value	Count	Frequency (%)
2020-12-02T12:00:00+00:00	44	54.3%
2020-12-02T04:00:00+00:00	7	8.6%
2020-12-02T11:00:00+00:00	4	4.9%
2020-12-02T02:00:00+00:00	4	4.9%
2020-12-02T17:00:00+00:00	3	3.7%
2020-12-02T15:00:00+00:00	2	2.5%
2020-12-02T13:00:00+00:00	2	2.5%
2020-12-02T00:00:00+00:00	2	2.5%
2020-12-02T09:30:00+00:00	1	1.2%
2020-12-02T10:00:00+00:00	1	1.2%
Other values (11)	11	13.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-02t12:00:00+00:00	44	54.3%
2020-12-02t04:00:00+00:00	7	8.6%
2020-12-02t11:00:00+00:00	4	4.9%
2020-12-02t02:00:00+00:00	4	4.9%
2020-12-02t17:00:00+00:00	3	3.7%
2020-12-02t15:00:00+00:00	2	2.5%
2020-12-02t13:00:00+00:00	2	2.5%
2020-12-02t00:00:00+00:00	2	2.5%
2020-12-02t05:35:00+00:00	1	1.2%
2020-12-03t02:25:00+00:00	1	1.2%
Other values (11)	11	13.6%

Most occurring characters

Value	Count	Frequency (%)
0	912	45.0%
2	372	18.4%
:	243	12.0%
-	162	8.0%
1	144	7.1%
T	81	4.0%
+	81	4.0%
4	8	0.4%
5	7	0.3%
3	7	0.3%
Other values (3)	8	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1458	72.0%
Other Punctuation	243	12.0%
Dash Punctuation	162	8.0%
Uppercase Letter	81	4.0%
Math Symbol	81	4.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	912	62.6%
2	372	25.5%
1	144	9.9%
4	8	0.5%
5	7	0.5%
3	7	0.5%
7	4	0.3%
9	3	0.2%
6	1	0.1%

Other Punctuation

Value	Count	Frequency (%)
:	243	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	162	100.0%

Uppercase Letter

Value	Count	Frequency (%)
T	81	100.0%

Math Symbol

Value	Count	Frequency (%)
+	81	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1944	96.0%
Latin	81	4.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	912	46.9%
2	372	19.1%
:	243	12.5%
-	162	8.3%
1	144	7.4%
+	81	4.2%
4	8	0.4%
5	7	0.4%
3	7	0.4%
7	4	0.2%
Other values (2)	4	0.2%

Latin

Value	Count	Frequency (%)
T	81	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2025	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	912	45.0%
2	372	18.4%
:	243	12.0%
-	162	8.0%
1	144	7.1%
T	81	4.0%
+	81	4.0%
4	8	0.4%
5	7	0.3%
3	7	0.3%
Other values (3)	8	0.4%

runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	34
Distinct (%)	45.3%
Missing	6
Missing (%)	7.4%
Infinite	0
Infinite (%)	0.0%
Mean	39.54666667

Minimum	2
Maximum	300
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	776.0 B

Quantile statistics

Minimum	2
5-th percentile	5
Q1	17
median	37
Q3	45
95-th percentile	120
Maximum	300
Range	298
Interquartile range (IQR)	28

Descriptive statistics

Standard deviation	40.74916459
Coefficient of variation (CV)	1.030407061
Kurtosis	22.49045825
Mean	39.54666667
Median Absolute Deviation (MAD)	12
Skewness	3.989508514
Sum	2966
Variance	1660.494414
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
45	20	24.7%
5	7	8.6%
30	4	4.9%
25	3	3.7%
19	3	3.7%
40	2	2.5%
35	2	2.5%
13	2	2.5%
41	2	2.5%
60	2	2.5%
Other values (24)	28	34.6%
(Missing)	6	7.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	1.2%
4	1	1.2%
5	7	8.6%
7	1	1.2%
8	1	1.2%
9	1	1.2%
11	1	1.2%
12	1	1.2%
13	2	2.5%
14	1	1.2%

Value	Count	Frequency (%)
300	1	1.2%
128	1	1.2%
121	1	1.2%
120	2	2.5%
90	1	1.2%
69	1	1.2%
60	2	2.5%
48	1	1.2%
47	1	1.2%
45	20	24.7%

summary
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct	12
Distinct (%)	92.3%
Missing	68
Missing (%)	84.0%
Memory size	776.0 B

<p>Twin stars create an oxygen-rich atmosphere on Eden, where a teeming biosphere may parallel seasonal cycles of predation and reproduction on Earth.</p>	2
<p>Katya's ready for love, and she wants to do it now. Trixie explains to her what love is, and Katya designs her perfect man.</p>	1
<p>This issue could be a continuation of the series Better Houses about Castles of Ukraine. But Zhenya Sinelnikov decided to show us a slightly different route. Following from Kiev to Lviv, we will stop at a picturesque canyon, show a place with houses, right for a photo on Instagram, visit the famous tunnel of love. First of all, we will show the Ukrainian Disneyland - Victoria film studio, there is even a real Iron Throne! Next, we are waiting for the autumn Radomyshl, a visit to a shelter for bears, and at the end of the three castles of Ukraine - Pidhretsky Castle, Zolochy Castle, Olesky Castle.</p>	1
<p>Настало время расплаты и жестких вопросов для Владимира Маркони от ковбоев, амазонок и Сергея Мезенцева. Смотрим!</p>	1
<p>During their occupation of large parts of Europe, the Nazis systematically looted foreign countries for art, gold and other items holding financial or cultural value. Often for any larger purpose, but for their own, egocentric, criminal gain.</p>	1
Other values (7)	7

Length

Max length	610
Median length	182
Mean length	223.1538462
Min length	120

Characters and Unicode

Total characters	2901
Distinct characters	96
Distinct categories	9 ?
Distinct scripts	3 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	11 ?
Unique (%)	84.6%

Sample

1st row	<p>Katya's ready for love, and she wants to do it now. Trixie explains to her what love is, and Katya designs her perfect man.</p>
2nd row	<p>This issue could be a continuation of the series Better Houses about Castles of Ukraine. But Zhenya Sinelnikov decided to show us a slightly different route. Following from Kiev to Lviv, we will stop at a picturesque canyon, show a place with houses, right for a photo on Instagram, visit the famous tunnel of love. First of all, we will show the Ukrainian Disneyland - Victoria film studio, there is even a real Iron Throne! Next, we are waiting for the autumn Radomyshl, a visit to a shelter for bears, and at the end of the three castles of Ukraine - Pidhretsky Castle, Zolochy Castle, Olesky Castle.</p>
3rd row	<p>Настало время расплаты и жестких вопросов для Владимира Маркони от ковбоев, амазонок и Сергея Мезенцева. Смотрим!</p>
4th row	<p>During their occupation of large parts of Europe, the Nazis systematically looted foreign countries for art, gold and other items holding financial or cultural value. Often for any larger purpose, but for their own, egocentric, criminal gain.</p>
5th row	<p>Science and technology is marching on as the world enters the 1920's. But Americans have more to reckon with than just a new decade: every state in the country has gone "dry".</p>

Common Values

Value	Count	Frequency (%)
<p>Twin stars create an oxygen-rich atmosphere on Eden, where a teeming biosphere may parallel seasonal cycles of predation and reproduction on Earth.</p>	2	2.5%
<p>Katya's ready for love, and she wants to do it now. Trixie explains to her what love is, and Katya designs her perfect man.</p>	1	1.2%
<p>This issue could be a continuation of the series Better Houses about Castles of Ukraine. But Zhenya Sinelnikov decided to show us a slightly different route. Following from Kiev to Lviv, we will stop at a picturesque canyon, show a place with houses, right for a photo on Instagram, visit the famous tunnel of love. First of all, we will show the Ukrainian Disneyland - Victoria film studio, there is even a real Iron Throne! Next, we are waiting for the autumn Radomyshl, a visit to a shelter for bears, and at the end of the three castles of Ukraine - Pidhretsky Castle, Zolochy Castle, Olesky Castle.</p>	1	1.2%
<p>Настало время расплаты и жестких вопросов для Владимира Маркони от ковбоев, амазонок и Сергея Мезенцева. Смотрим!</p>	1	1.2%
<p>During their occupation of large parts of Europe, the Nazis systematically looted foreign countries for art, gold and other items holding financial or cultural value. Often for any larger purpose, but for their own, egocentric, criminal gain.</p>	1	1.2%
<p>Science and technology is marching on as the world enters the 1920's. But Americans have more to reckon with than just a new decade: every state in the country has gone "dry".</p>	1	1.2%
<p>On exoplanet Atlas, dense gravity creates a thick atmosphere allowing airborne life forms to thrive — but also providing a lesson in adaptability.</p>	1	1.2%
<p>Ants, scorpions and fireflies provide clues for biologists to conjecture about life on exoplanet Janus, including highly adaptable pentapods.</p>	1	1.2%
<p>Welcome to the SEASON 2 of our spooky and now FESTIVE show- Too Many Spirits! Join us as we read your submitted holiday ghost stories and enjoy cocktails prepared by freshman bartender, Steven Lim.</p>	1	1.2%
<p>Ronan Farrow enters the Hot Take octagon to discuss the rigged election, Trump's masterful Covid response, and the Me Too movement. </p>	1	1.2%
Other values (2)	2	2.5%
(Missing)	68	84.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	21	4.5%
and	15	3.2%
to	15	3.2%
a	14	3.0%
of	13	2.8%
for	9	1.9%
on	7	1.5%
but	5	1.1%
in	4	0.9%
show	4	0.9%
Other values (300)	361	77.1%

Most occurring characters

Value	Count	Frequency (%)
	454	15.6%
e	242	8.3%
o	189	6.5%
t	178	6.1%
a	177	6.1%
n	167	5.8%
i	146	5.0%
s	142	4.9%
r	135	4.7%
l	89	3.1%
Other values (86)	982	33.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2185	75.3%
Space Separator	455	15.7%
Uppercase Letter	111	3.8%
Other Punctuation	81	2.8%
Math Symbol	52	1.8%
Dash Punctuation	6	0.2%
Decimal Number	5	0.2%
Open Punctuation	3	0.1%
Close Punctuation	3	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	242	11.1%
o	189	8.6%
t	178	8.1%
a	177	8.1%
n	167	7.6%
i	146	6.7%
s	142	6.5%
r	135	6.2%
l	89	4.1%
h	88	4.0%
Other values (38)	632	28.9%

Uppercase Letter

Value	Count	Frequency (%)
R	11	9.9%
T	11	9.9%
F	10	9.0%
S	8	7.2%
E	8	7.2%
C	7	6.3%
B	5	4.5%
H	5	4.5%
A	5	4.5%
O	4	3.6%
Other values (16)	37	33.3%

Other Punctuation

Value	Count	Frequency (%)
,	33	40.7%
.	20	24.7%
/	13	16.0%
!	5	6.2%
'	4	4.9%
"	2	2.5%
;	1	1.2%
:	1	1.2%
&	1	1.2%
?	1	1.2%

Decimal Number

Value	Count	Frequency (%)
2	2	40.0%
0	1	20.0%
9	1	20.0%
1	1	20.0%

Space Separator

Value	Count	Frequency (%)
	454	99.8%
	1	0.2%

Math Symbol

Value	Count	Frequency (%)
<	26	50.0%
>	26	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	5	83.3%
—	1	16.7%

Open Punctuation

Value	Count	Frequency (%)
(	3	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2201	75.9%
Common	605	20.9%
Cyrillic	95	3.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	242	11.0%
o	189	8.6%
t	178	8.1%
a	177	8.0%
n	167	7.6%
i	146	6.6%
s	142	6.5%
r	135	6.1%
l	89	4.0%
h	88	4.0%
Other values (38)	648	29.4%

Cyrillic

Value	Count	Frequency (%)
о	11	11.6%
а	10	10.5%
е	8	8.4%
р	7	7.4%
и	7	7.4%
в	6	6.3%
т	5	5.3%
м	5	5.3%
л	4	4.2%
с	4	4.2%
Other values (16)	28	29.5%

Common

Value	Count	Frequency (%)
	454	75.0%
,	33	5.5%
<	26	4.3%
>	26	4.3%
.	20	3.3%
/	13	2.1%
!	5	0.8%
-	5	0.8%
'	4	0.7%
(	3	0.5%
Other values (12)	16	2.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2804	96.7%
Cyrillic	95	3.3%
Punctuation	1	< 0.1%
None	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	454	16.2%
e	242	8.6%
o	189	6.7%
t	178	6.3%
a	177	6.3%
n	167	6.0%
i	146	5.2%
s	142	5.1%
r	135	4.8%
l	89	3.2%
Other values (58)	885	31.6%

Cyrillic

Value	Count	Frequency (%)
о	11	11.6%
а	10	10.5%
е	8	8.4%
р	7	7.4%
и	7	7.4%
в	6	6.3%
т	5	5.3%
м	5	5.3%
л	4	4.2%
с	4	4.2%
Other values (16)	28	29.5%

Punctuation

Value	Count	Frequency (%)
—	1	100.0%

None

Value	Count	Frequency (%)
	1	100.0%

rating.average
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	75.0%
Missing	77
Missing (%)	95.1%
Memory size	776.0 B

9.0	2
7.3	1
10.0	1

Length

Max length	4
Median length	3
Mean length	3.25
Min length	3

Characters and Unicode

Total characters	13
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	50.0%

Sample

1st row	7.3
2nd row	9.0
3rd row	9.0
4th row	10.0

Common Values

Value	Count	Frequency (%)
9.0	2	2.5%
7.3	1	1.2%
10.0	1	1.2%
(Missing)	77	95.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
9.0	2	50.0%
7.3	1	25.0%
10.0	1	25.0%

Most occurring characters

Value	Count	Frequency (%)
.	4	30.8%
0	4	30.8%
9	2	15.4%
7	1	7.7%
3	1	7.7%
1	1	7.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	9	69.2%
Other Punctuation	4	30.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4	44.4%
9	2	22.2%
7	1	11.1%
3	1	11.1%
1	1	11.1%

Other Punctuation

Value	Count	Frequency (%)
.	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	13	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	4	30.8%
0	4	30.8%
9	2	15.4%
7	1	7.7%
3	1	7.7%
1	1	7.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	4	30.8%
0	4	30.8%
9	2	15.4%
7	1	7.7%
3	1	7.7%
1	1	7.7%

image.medium
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct	14
Distinct (%)	100.0%
Missing	67
Missing (%)	82.7%
Memory size	776.0 B

https://static.tvmaze.com/uploads/images/medium_landscape/360/901421.jpg	1
https://static.tvmaze.com/uploads/images/medium_landscape/286/715106.jpg	1
https://static.tvmaze.com/uploads/images/medium_landscape/293/734764.jpg	1
https://static.tvmaze.com/uploads/images/medium_landscape/286/715360.jpg	1
https://static.tvmaze.com/uploads/images/medium_landscape/286/715179.jpg	1
Other values (9)	9

Length

Max length	72
Median length	72
Mean length	72
Min length	72

Characters and Unicode

Total characters	1008
Distinct characters	32
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	14 ?
Unique (%)	100.0%

Sample

1st row	https://static.tvmaze.com/uploads/images/medium_landscape/360/901421.jpg
2nd row	https://static.tvmaze.com/uploads/images/medium_landscape/286/715106.jpg
3rd row	https://static.tvmaze.com/uploads/images/medium_landscape/293/734764.jpg
4th row	https://static.tvmaze.com/uploads/images/medium_landscape/286/715360.jpg
5th row	https://static.tvmaze.com/uploads/images/medium_landscape/286/715179.jpg

Common Values

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/medium_landscape/360/901421.jpg	1	1.2%
https://static.tvmaze.com/uploads/images/medium_landscape/286/715106.jpg	1	1.2%
https://static.tvmaze.com/uploads/images/medium_landscape/293/734764.jpg	1	1.2%
https://static.tvmaze.com/uploads/images/medium_landscape/286/715360.jpg	1	1.2%
https://static.tvmaze.com/uploads/images/medium_landscape/286/715179.jpg	1	1.2%
https://static.tvmaze.com/uploads/images/medium_landscape/340/850668.jpg	1	1.2%
https://static.tvmaze.com/uploads/images/medium_landscape/287/719897.jpg	1	1.2%
https://static.tvmaze.com/uploads/images/medium_landscape/287/719898.jpg	1	1.2%
https://static.tvmaze.com/uploads/images/medium_landscape/287/719899.jpg	1	1.2%
https://static.tvmaze.com/uploads/images/medium_landscape/287/719900.jpg	1	1.2%
Other values (4)	4	4.9%
(Missing)	67	82.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/medium_landscape/360/901421.jpg	1	7.1%
https://static.tvmaze.com/uploads/images/medium_landscape/286/715106.jpg	1	7.1%
https://static.tvmaze.com/uploads/images/medium_landscape/293/734764.jpg	1	7.1%
https://static.tvmaze.com/uploads/images/medium_landscape/286/715360.jpg	1	7.1%
https://static.tvmaze.com/uploads/images/medium_landscape/286/715179.jpg	1	7.1%
https://static.tvmaze.com/uploads/images/medium_landscape/340/850668.jpg	1	7.1%
https://static.tvmaze.com/uploads/images/medium_landscape/287/719897.jpg	1	7.1%
https://static.tvmaze.com/uploads/images/medium_landscape/287/719898.jpg	1	7.1%
https://static.tvmaze.com/uploads/images/medium_landscape/287/719899.jpg	1	7.1%
https://static.tvmaze.com/uploads/images/medium_landscape/287/719900.jpg	1	7.1%
Other values (4)	4	28.6%

Most occurring characters

Value	Count	Frequency (%)
/	98	9.7%
a	84	8.3%
t	70	6.9%
s	70	6.9%
m	70	6.9%
p	56	5.6%
e	56	5.6%
i	42	4.2%
c	42	4.2%
.	42	4.2%
Other values (22)	378	37.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	714	70.8%
Other Punctuation	154	15.3%
Decimal Number	126	12.5%
Connector Punctuation	14	1.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	84	11.8%
t	70	9.8%
s	70	9.8%
m	70	9.8%
p	56	7.8%
e	56	7.8%
i	42	5.9%
c	42	5.9%
d	42	5.9%
l	28	3.9%
Other values (8)	154	21.6%

Decimal Number

Value	Count	Frequency (%)
7	21	16.7%
8	17	13.5%
9	16	12.7%
2	14	11.1%
1	14	11.1%
5	11	8.7%
6	10	7.9%
0	9	7.1%
3	8	6.3%
4	6	4.8%

Other Punctuation

Value	Count	Frequency (%)
/	98	63.6%
.	42	27.3%
:	14	9.1%

Connector Punctuation

Value	Count	Frequency (%)
_	14	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	714	70.8%
Common	294	29.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	84	11.8%
t	70	9.8%
s	70	9.8%
m	70	9.8%
p	56	7.8%
e	56	7.8%
i	42	5.9%
c	42	5.9%
d	42	5.9%
l	28	3.9%
Other values (8)	154	21.6%

Common

Value	Count	Frequency (%)
/	98	33.3%
.	42	14.3%
7	21	7.1%
8	17	5.8%
9	16	5.4%
2	14	4.8%
1	14	4.8%
_	14	4.8%
:	14	4.8%
5	11	3.7%
Other values (4)	33	11.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1008	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	98	9.7%
a	84	8.3%
t	70	6.9%
s	70	6.9%
m	70	6.9%
p	56	5.6%
e	56	5.6%
i	42	4.2%
c	42	4.2%
.	42	4.2%
Other values (22)	378	37.5%

image.original
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct	14
Distinct (%)	100.0%
Missing	67
Missing (%)	82.7%
Memory size	776.0 B

https://static.tvmaze.com/uploads/images/original_untouched/360/901421.jpg	1
https://static.tvmaze.com/uploads/images/original_untouched/286/715106.jpg	1
https://static.tvmaze.com/uploads/images/original_untouched/293/734764.jpg	1
https://static.tvmaze.com/uploads/images/original_untouched/286/715360.jpg	1
https://static.tvmaze.com/uploads/images/original_untouched/286/715179.jpg	1
Other values (9)	9

Length

Max length	74
Median length	74
Mean length	74
Min length	74

Characters and Unicode

Total characters	1036
Distinct characters	33
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	14 ?
Unique (%)	100.0%

Sample

1st row	https://static.tvmaze.com/uploads/images/original_untouched/360/901421.jpg
2nd row	https://static.tvmaze.com/uploads/images/original_untouched/286/715106.jpg
3rd row	https://static.tvmaze.com/uploads/images/original_untouched/293/734764.jpg
4th row	https://static.tvmaze.com/uploads/images/original_untouched/286/715360.jpg
5th row	https://static.tvmaze.com/uploads/images/original_untouched/286/715179.jpg

Common Values

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/360/901421.jpg	1	1.2%
https://static.tvmaze.com/uploads/images/original_untouched/286/715106.jpg	1	1.2%
https://static.tvmaze.com/uploads/images/original_untouched/293/734764.jpg	1	1.2%
https://static.tvmaze.com/uploads/images/original_untouched/286/715360.jpg	1	1.2%
https://static.tvmaze.com/uploads/images/original_untouched/286/715179.jpg	1	1.2%
https://static.tvmaze.com/uploads/images/original_untouched/340/850668.jpg	1	1.2%
https://static.tvmaze.com/uploads/images/original_untouched/287/719897.jpg	1	1.2%
https://static.tvmaze.com/uploads/images/original_untouched/287/719898.jpg	1	1.2%
https://static.tvmaze.com/uploads/images/original_untouched/287/719899.jpg	1	1.2%
https://static.tvmaze.com/uploads/images/original_untouched/287/719900.jpg	1	1.2%
Other values (4)	4	4.9%
(Missing)	67	82.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/360/901421.jpg	1	7.1%
https://static.tvmaze.com/uploads/images/original_untouched/286/715106.jpg	1	7.1%
https://static.tvmaze.com/uploads/images/original_untouched/293/734764.jpg	1	7.1%
https://static.tvmaze.com/uploads/images/original_untouched/286/715360.jpg	1	7.1%
https://static.tvmaze.com/uploads/images/original_untouched/286/715179.jpg	1	7.1%
https://static.tvmaze.com/uploads/images/original_untouched/340/850668.jpg	1	7.1%
https://static.tvmaze.com/uploads/images/original_untouched/287/719897.jpg	1	7.1%
https://static.tvmaze.com/uploads/images/original_untouched/287/719898.jpg	1	7.1%
https://static.tvmaze.com/uploads/images/original_untouched/287/719899.jpg	1	7.1%
https://static.tvmaze.com/uploads/images/original_untouched/287/719900.jpg	1	7.1%
Other values (4)	4	28.6%

Most occurring characters

Value	Count	Frequency (%)
/	98	9.5%
t	84	8.1%
a	70	6.8%
s	56	5.4%
i	56	5.4%
o	56	5.4%
p	42	4.1%
c	42	4.1%
.	42	4.1%
g	42	4.1%
Other values (23)	448	43.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	742	71.6%
Other Punctuation	154	14.9%
Decimal Number	126	12.2%
Connector Punctuation	14	1.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	84	11.3%
a	70	9.4%
s	56	7.5%
i	56	7.5%
o	56	7.5%
p	42	5.7%
c	42	5.7%
g	42	5.7%
m	42	5.7%
e	42	5.7%
Other values (9)	210	28.3%

Decimal Number

Value	Count	Frequency (%)
7	21	16.7%
8	17	13.5%
9	16	12.7%
1	14	11.1%
2	14	11.1%
5	11	8.7%
6	10	7.9%
0	9	7.1%
3	8	6.3%
4	6	4.8%

Other Punctuation

Value	Count	Frequency (%)
/	98	63.6%
.	42	27.3%
:	14	9.1%

Connector Punctuation

Value	Count	Frequency (%)
_	14	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	742	71.6%
Common	294	28.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	84	11.3%
a	70	9.4%
s	56	7.5%
i	56	7.5%
o	56	7.5%
p	42	5.7%
c	42	5.7%
g	42	5.7%
m	42	5.7%
e	42	5.7%
Other values (9)	210	28.3%

Common

Value	Count	Frequency (%)
/	98	33.3%
.	42	14.3%
7	21	7.1%
8	17	5.8%
9	16	5.4%
:	14	4.8%
_	14	4.8%
1	14	4.8%
2	14	4.8%
5	11	3.7%
Other values (4)	33	11.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1036	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	98	9.5%
t	84	8.1%
a	70	6.8%
s	56	5.4%
i	56	5.4%
o	56	5.4%
p	42	4.1%
c	42	4.1%
.	42	4.1%
g	42	4.1%
Other values (23)	448	43.2%

_links.self.href
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	81
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	776.0 B

https://api.tvmaze.com/episodes/1972782	1
https://api.tvmaze.com/episodes/2001104	1
https://api.tvmaze.com/episodes/1977633	1
https://api.tvmaze.com/episodes/1977632	1
https://api.tvmaze.com/episodes/1976186	1
Other values (76)	76

Length

Max length	39
Median length	39
Mean length	39
Min length	39

Characters and Unicode

Total characters	3159
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	81 ?
Unique (%)	100.0%

Sample

1st row	https://api.tvmaze.com/episodes/1972782
2nd row	https://api.tvmaze.com/episodes/1979223
3rd row	https://api.tvmaze.com/episodes/1971567
4th row	https://api.tvmaze.com/episodes/1983072
5th row	https://api.tvmaze.com/episodes/2386103

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1972782	1	1.2%
https://api.tvmaze.com/episodes/2001104	1	1.2%
https://api.tvmaze.com/episodes/1977633	1	1.2%
https://api.tvmaze.com/episodes/1977632	1	1.2%
https://api.tvmaze.com/episodes/1976186	1	1.2%
https://api.tvmaze.com/episodes/1976185	1	1.2%
https://api.tvmaze.com/episodes/1976155	1	1.2%
https://api.tvmaze.com/episodes/1976154	1	1.2%
https://api.tvmaze.com/episodes/1976137	1	1.2%
https://api.tvmaze.com/episodes/1976136	1	1.2%
Other values (71)	71	87.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1972782	1	1.2%
https://api.tvmaze.com/episodes/1979223	1	1.2%
https://api.tvmaze.com/episodes/1971567	1	1.2%
https://api.tvmaze.com/episodes/1983072	1	1.2%
https://api.tvmaze.com/episodes/2386103	1	1.2%
https://api.tvmaze.com/episodes/1985615	1	1.2%
https://api.tvmaze.com/episodes/2030018	1	1.2%
https://api.tvmaze.com/episodes/1973540	1	1.2%
https://api.tvmaze.com/episodes/1973541	1	1.2%
https://api.tvmaze.com/episodes/2066367	1	1.2%
Other values (71)	71	87.7%

Most occurring characters

Value	Count	Frequency (%)
/	324	10.3%
p	243	7.7%
s	243	7.7%
e	243	7.7%
t	243	7.7%
o	162	5.1%
a	162	5.1%
i	162	5.1%
.	162	5.1%
m	162	5.1%
Other values (16)	1053	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2025	64.1%
Other Punctuation	567	17.9%
Decimal Number	567	17.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
p	243	12.0%
s	243	12.0%
e	243	12.0%
t	243	12.0%
o	162	8.0%
a	162	8.0%
i	162	8.0%
m	162	8.0%
h	81	4.0%
d	81	4.0%
Other values (3)	243	12.0%

Decimal Number

Value	Count	Frequency (%)
1	106	18.7%
9	87	15.3%
7	64	11.3%
2	58	10.2%
8	51	9.0%
0	50	8.8%
6	49	8.6%
5	38	6.7%
3	37	6.5%
4	27	4.8%

Other Punctuation

Value	Count	Frequency (%)
/	324	57.1%
.	162	28.6%
:	81	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2025	64.1%
Common	1134	35.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	324	28.6%
.	162	14.3%
1	106	9.3%
9	87	7.7%
:	81	7.1%
7	64	5.6%
2	58	5.1%
8	51	4.5%
0	50	4.4%
6	49	4.3%
Other values (3)	102	9.0%

Latin

Value	Count	Frequency (%)
p	243	12.0%
s	243	12.0%
e	243	12.0%
t	243	12.0%
o	162	8.0%
a	162	8.0%
i	162	8.0%
m	162	8.0%
h	81	4.0%
d	81	4.0%
Other values (3)	243	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3159	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	324	10.3%
p	243	7.7%
s	243	7.7%
e	243	7.7%
t	243	7.7%
o	162	5.1%
a	162	5.1%
i	162	5.1%
.	162	5.1%
m	162	5.1%
Other values (16)	1053	33.3%

_embedded.show.id
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	67
Distinct (%)	82.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	47565.06173

Minimum	2266
Maximum	61755
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	776.0 B

Quantile statistics

Minimum	2266
5-th percentile	26268
Q1	46139
median	51870
Q3	52250
95-th percentile	57953
Maximum	61755
Range	59489
Interquartile range (IQR)	6111

Descriptive statistics

Standard deviation	11243.77473
Coefficient of variation (CV)	0.2363872624
Kurtosis	5.811283344
Mean	47565.06173
Median Absolute Deviation (MAD)	2723
Skewness	-2.26475712
Sum	3852770
Variance	126422470.2
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
51927	4	4.9%
52104	2	2.5%
52108	2	2.5%
52421	2	2.5%
52159	2	2.5%
52780	2	2.5%
51870	2	2.5%
52038	2	2.5%
57030	2	2.5%
58689	2	2.5%
Other values (57)	59	72.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2266	1	1.2%
2504	1	1.2%
15250	1	1.2%
24963	1	1.2%
26268	1	1.2%
27055	1	1.2%
28346	1	1.2%
30606	1	1.2%
33691	1	1.2%
33944	1	1.2%

Value	Count	Frequency (%)
61755	1	1.2%
59555	1	1.2%
58689	2	2.5%
57953	1	1.2%
57689	1	1.2%
57478	1	1.2%
57030	2	2.5%
56746	1	1.2%
56531	1	1.2%
56064	1	1.2%

_embedded.show.url
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM

Distinct	67
Distinct (%)	82.7%
Missing	0
Missing (%)	0.0%
Memory size	776.0 B

https://www.tvmaze.com/shows/51927/alien-worlds	4
https://www.tvmaze.com/shows/52104/twisted-fate-of-love	2
https://www.tvmaze.com/shows/52108/psych-hunter	2
https://www.tvmaze.com/shows/52421/you-complete-me	2
https://www.tvmaze.com/shows/52159/to-love	2
Other values (62)	69

Length

Max length	73
Median length	61
Mean length	50.87654321
Min length	41

Characters and Unicode

Total characters	4121
Distinct characters	39
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	55 ?
Unique (%)	67.9%

Sample

1st row	https://www.tvmaze.com/shows/49630/kontakty
2nd row	https://www.tvmaze.com/shows/52198/kotiki
3rd row	https://www.tvmaze.com/shows/47207/mermaid-prince
4th row	https://www.tvmaze.com/shows/48395/wan-sheng-jie
5th row	https://www.tvmaze.com/shows/49206/xian-feng-jian-yu-lu

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/51927/alien-worlds	4	4.9%
https://www.tvmaze.com/shows/52104/twisted-fate-of-love	2	2.5%
https://www.tvmaze.com/shows/52108/psych-hunter	2	2.5%
https://www.tvmaze.com/shows/52421/you-complete-me	2	2.5%
https://www.tvmaze.com/shows/52159/to-love	2	2.5%
https://www.tvmaze.com/shows/52780/mermaid-prince	2	2.5%
https://www.tvmaze.com/shows/51870/something-just-like-this	2	2.5%
https://www.tvmaze.com/shows/52038/please-wait-brother	2	2.5%
https://www.tvmaze.com/shows/57030/gjor-det-sjol	2	2.5%
https://www.tvmaze.com/shows/58689/my-supernatural-power	2	2.5%
Other values (57)	59	72.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/51927/alien-worlds	4	4.9%
https://www.tvmaze.com/shows/51870/something-just-like-this	2	2.5%
https://www.tvmaze.com/shows/52107/new-face	2	2.5%
https://www.tvmaze.com/shows/52106/insect-detective	2	2.5%
https://www.tvmaze.com/shows/58689/my-supernatural-power	2	2.5%
https://www.tvmaze.com/shows/52038/please-wait-brother	2	2.5%
https://www.tvmaze.com/shows/57030/gjor-det-sjol	2	2.5%
https://www.tvmaze.com/shows/52780/mermaid-prince	2	2.5%
https://www.tvmaze.com/shows/52159/to-love	2	2.5%
https://www.tvmaze.com/shows/52421/you-complete-me	2	2.5%
Other values (57)	59	72.8%

Most occurring characters

Value	Count	Frequency (%)
/	405	9.8%
w	353	8.6%
t	328	8.0%
s	325	7.9%
o	245	5.9%
e	221	5.4%
m	202	4.9%
h	202	4.9%
.	162	3.9%
a	161	3.9%
Other values (29)	1517	36.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2915	70.7%
Other Punctuation	648	15.7%
Decimal Number	408	9.9%
Dash Punctuation	150	3.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
w	353	12.1%
t	328	11.3%
s	325	11.1%
o	245	8.4%
e	221	7.6%
m	202	6.9%
h	202	6.9%
a	161	5.5%
c	111	3.8%
p	106	3.6%
Other values (15)	661	22.7%

Decimal Number

Value	Count	Frequency (%)
5	73	17.9%
4	49	12.0%
1	45	11.0%
2	44	10.8%
0	37	9.1%
6	35	8.6%
7	35	8.6%
9	33	8.1%
3	31	7.6%
8	26	6.4%

Other Punctuation

Value	Count	Frequency (%)
/	405	62.5%
.	162	25.0%
:	81	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	150	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2915	70.7%
Common	1206	29.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
w	353	12.1%
t	328	11.3%
s	325	11.1%
o	245	8.4%
e	221	7.6%
m	202	6.9%
h	202	6.9%
a	161	5.5%
c	111	3.8%
p	106	3.6%
Other values (15)	661	22.7%

Common

Value	Count	Frequency (%)
/	405	33.6%
.	162	13.4%
-	150	12.4%
:	81	6.7%
5	73	6.1%
4	49	4.1%
1	45	3.7%
2	44	3.6%
0	37	3.1%
6	35	2.9%
Other values (4)	125	10.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4121	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	405	9.8%
w	353	8.6%
t	328	8.0%
s	325	7.9%
o	245	5.9%
e	221	5.4%
m	202	4.9%
h	202	4.9%
.	162	3.9%
a	161	3.9%
Other values (29)	1517	36.8%

_embedded.show.name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM

Distinct	66
Distinct (%)	81.5%
Missing	0
Missing (%)	0.0%
Memory size	776.0 B

Alien Worlds	4
Mermaid Prince	3
New Face	2
You Complete Me	2
To Love	2
Other values (61)	68

Length

Max length	40
Median length	27
Mean length	16.16049383
Min length	6

Characters and Unicode

Total characters	1309
Distinct characters	93
Distinct categories	5 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	54 ?
Unique (%)	66.7%

Sample

1st row	Контакты
2nd row	Котики
3rd row	Mermaid Prince
4th row	Wan Sheng Jie
5th row	Xian Feng Jian Yu Lu

Common Values

Value	Count	Frequency (%)
Alien Worlds	4	4.9%
Mermaid Prince	3	3.7%
New Face	2	2.5%
You Complete Me	2	2.5%
To Love	2	2.5%
Psych Hunter	2	2.5%
Please Wait, Brother	2	2.5%
Something Just Like This	2	2.5%
Gjør det sjøl	2	2.5%
My Supernatural Power	2	2.5%
Other values (56)	58	71.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	6	2.6%
worlds	4	1.7%
love	4	1.7%
alien	4	1.7%
new	3	1.3%
you	3	1.3%
prince	3	1.3%
mermaid	3	1.3%
yi	3	1.3%
of	3	1.3%
Other values (168)	196	84.5%

Most occurring characters

Value	Count	Frequency (%)
	151	11.5%
e	127	9.7%
i	66	5.0%
a	62	4.7%
n	62	4.7%
o	60	4.6%
r	57	4.4%
s	54	4.1%
t	53	4.0%
l	45	3.4%
Other values (83)	572	43.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	924	70.6%
Uppercase Letter	211	16.1%
Space Separator	151	11.5%
Other Punctuation	18	1.4%
Decimal Number	5	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	127	13.7%
i	66	7.1%
a	62	6.7%
n	62	6.7%
o	60	6.5%
r	57	6.2%
s	54	5.8%
t	53	5.7%
l	45	4.9%
h	35	3.8%
Other values (42)	303	32.8%

Uppercase Letter

Value	Count	Frequency (%)
T	23	10.9%
S	20	9.5%
W	16	7.6%
M	15	7.1%
C	11	5.2%
P	11	5.2%
A	10	4.7%
F	9	4.3%
Y	9	4.3%
L	9	4.3%
Other values (22)	78	37.0%

Other Punctuation

Value	Count	Frequency (%)
:	5	27.8%
'	5	27.8%
.	4	22.2%
,	3	16.7%
&	1	5.6%

Decimal Number

Value	Count	Frequency (%)
0	2	40.0%
2	2	40.0%
1	1	20.0%

Space Separator

Value	Count	Frequency (%)
	151	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1021	78.0%
Common	174	13.3%
Cyrillic	114	8.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	127	12.4%
i	66	6.5%
a	62	6.1%
n	62	6.1%
o	60	5.9%
r	57	5.6%
s	54	5.3%
t	53	5.2%
l	45	4.4%
h	35	3.4%
Other values (40)	400	39.2%

Cyrillic

Value	Count	Frequency (%)
о	13	11.4%
р	10	8.8%
к	9	7.9%
т	9	7.9%
е	8	7.0%
а	7	6.1%
и	7	6.1%
м	5	4.4%
н	5	4.4%
с	5	4.4%
Other values (24)	36	31.6%

Common

Value	Count	Frequency (%)
	151	86.8%
:	5	2.9%
'	5	2.9%
.	4	2.3%
,	3	1.7%
0	2	1.1%
2	2	1.1%
1	1	0.6%
&	1	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1188	90.8%
Cyrillic	114	8.7%
None	7	0.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	151	12.7%
e	127	10.7%
i	66	5.6%
a	62	5.2%
n	62	5.2%
o	60	5.1%
r	57	4.8%
s	54	4.5%
t	53	4.5%
l	45	3.8%
Other values (48)	451	38.0%

Cyrillic

Value	Count	Frequency (%)
о	13	11.4%
р	10	8.8%
к	9	7.9%
т	9	7.9%
е	8	7.0%
а	7	6.1%
и	7	6.1%
м	5	4.4%
н	5	4.4%
с	5	4.4%
Other values (24)	36	31.6%

None

Value	Count	Frequency (%)
ø	7	100.0%

_embedded.show.type
Categorical

HIGH CORRELATION

Distinct	10
Distinct (%)	12.3%
Missing	0
Missing (%)	0.0%
Memory size	776.0 B

Scripted	33
Talk Show	12
Animation	10
Reality	9
Documentary	8
Other values (5)	9

Length

Max length	11
Median length	10
Mean length	8.395061728
Min length	4

Characters and Unicode

Total characters	680
Distinct characters	27
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	2.5%

Sample

1st row	Game Show
2nd row	Scripted
3rd row	Scripted
4th row	Animation
5th row	Animation

Common Values

Value	Count	Frequency (%)
Scripted	33	40.7%
Talk Show	12	14.8%
Animation	10	12.3%
Reality	9	11.1%
Documentary	8	9.9%
Game Show	3	3.7%
Variety	2	2.5%
Sports	2	2.5%
Award Show	1	1.2%
News	1	1.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
scripted	33	34.0%
show	16	16.5%
talk	12	12.4%
animation	10	10.3%
reality	9	9.3%
documentary	8	8.2%
game	3	3.1%
variety	2	2.1%
sports	2	2.1%
award	1	1.0%

Most occurring characters

Value	Count	Frequency (%)
i	64	9.4%
t	64	9.4%
e	56	8.2%
S	51	7.5%
r	46	6.8%
a	45	6.6%
c	41	6.0%
o	36	5.3%
p	35	5.1%
d	34	5.0%
Other values (17)	208	30.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	567	83.4%
Uppercase Letter	97	14.3%
Space Separator	16	2.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	64	11.3%
t	64	11.3%
e	56	9.9%
r	46	8.1%
a	45	7.9%
c	41	7.2%
o	36	6.3%
p	35	6.2%
d	34	6.0%
n	28	4.9%
Other values (8)	118	20.8%

Uppercase Letter

Value	Count	Frequency (%)
S	51	52.6%
T	12	12.4%
A	11	11.3%
R	9	9.3%
D	8	8.2%
G	3	3.1%
V	2	2.1%
N	1	1.0%

Space Separator

Value	Count	Frequency (%)
	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	664	97.6%
Common	16	2.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	64	9.6%
t	64	9.6%
e	56	8.4%
S	51	7.7%
r	46	6.9%
a	45	6.8%
c	41	6.2%
o	36	5.4%
p	35	5.3%
d	34	5.1%
Other values (16)	192	28.9%

Common

Value	Count	Frequency (%)
	16	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	680	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	64	9.4%
t	64	9.4%
e	56	8.2%
S	51	7.5%
r	46	6.8%
a	45	6.6%
c	41	6.0%
o	36	5.3%
p	35	5.1%
d	34	5.0%
Other values (17)	208	30.6%

_embedded.show.language
Categorical

HIGH CORRELATION
MISSING

Distinct	16
Distinct (%)	20.0%
Missing	1
Missing (%)	1.2%
Memory size	776.0 B

Chinese	26
English	22
Russian	8
Norwegian	7
Arabic	3
Other values (11)	14

Length

Max length	10
Median length	7
Mean length	7.125
Min length	4

Characters and Unicode

Total characters	570
Distinct characters	33
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	11.2%

Sample

1st row	Russian
2nd row	Russian
3rd row	Korean
4th row	Chinese
5th row	Chinese

Common Values

Value	Count	Frequency (%)
Chinese	26	32.1%
English	22	27.2%
Russian	8	9.9%
Norwegian	7	8.6%
Arabic	3	3.7%
Korean	3	3.7%
Japanese	2	2.5%
Ukrainian	1	1.2%
Portuguese	1	1.2%
French	1	1.2%
Other values (6)	6	7.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
chinese	26	32.5%
english	22	27.5%
russian	8	10.0%
norwegian	7	8.8%
arabic	3	3.8%
korean	3	3.8%
japanese	2	2.5%
ukrainian	1	1.2%
portuguese	1	1.2%
french	1	1.2%
Other values (6)	6	7.5%

Most occurring characters

Value	Count	Frequency (%)
n	74	13.0%
i	72	12.6%
e	70	12.3%
s	69	12.1%
h	54	9.5%
a	33	5.8%
g	31	5.4%
C	26	4.6%
E	22	3.9%
l	22	3.9%
Other values (23)	97	17.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	490	86.0%
Uppercase Letter	80	14.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	74	15.1%
i	72	14.7%
e	70	14.3%
s	69	14.1%
h	54	11.0%
a	33	6.7%
g	31	6.3%
l	22	4.5%
r	17	3.5%
u	12	2.4%
Other values (9)	36	7.3%

Uppercase Letter

Value	Count	Frequency (%)
C	26	32.5%
E	22	27.5%
R	8	10.0%
N	7	8.8%
K	4	5.0%
A	3	3.8%
J	2	2.5%
S	2	2.5%
U	1	1.2%
P	1	1.2%
Other values (4)	4	5.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	570	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	74	13.0%
i	72	12.6%
e	70	12.3%
s	69	12.1%
h	54	9.5%
a	33	5.8%
g	31	5.4%
C	26	4.6%
E	22	3.9%
l	22	3.9%
Other values (23)	97	17.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	570	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	74	13.0%
i	72	12.6%
e	70	12.3%
s	69	12.1%
h	54	9.5%
a	33	5.8%
g	31	5.4%
C	26	4.6%
E	22	3.9%
l	22	3.9%
Other values (23)	97	17.0%

_embedded.show.genres
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	776.0 B

_embedded.show.status
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	3.7%
Missing	0
Missing (%)	0.0%
Memory size	776.0 B

Running	43
Ended	35
To Be Determined	3

Length

Max length	16
Median length	7
Mean length	6.469135802
Min length	5

Characters and Unicode

Total characters	524
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Running
2nd row	Ended
3rd row	Ended
4th row	Running
5th row	Running

Common Values

Value	Count	Frequency (%)
Running	43	53.1%
Ended	35	43.2%
To Be Determined	3	3.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
running	43	49.4%
ended	35	40.2%
to	3	3.4%
be	3	3.4%
determined	3	3.4%

Most occurring characters

Value	Count	Frequency (%)
n	167	31.9%
d	73	13.9%
e	47	9.0%
i	46	8.8%
R	43	8.2%
u	43	8.2%
g	43	8.2%
E	35	6.7%
	6	1.1%
T	3	0.6%
Other values (6)	18	3.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	431	82.3%
Uppercase Letter	87	16.6%
Space Separator	6	1.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	167	38.7%
d	73	16.9%
e	47	10.9%
i	46	10.7%
u	43	10.0%
g	43	10.0%
o	3	0.7%
t	3	0.7%
r	3	0.7%
m	3	0.7%

Uppercase Letter

Value	Count	Frequency (%)
R	43	49.4%
E	35	40.2%
T	3	3.4%
B	3	3.4%
D	3	3.4%

Space Separator

Value	Count	Frequency (%)
	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	518	98.9%
Common	6	1.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	167	32.2%
d	73	14.1%
e	47	9.1%
i	46	8.9%
R	43	8.3%
u	43	8.3%
g	43	8.3%
E	35	6.8%
T	3	0.6%
o	3	0.6%
Other values (5)	15	2.9%

Common

Value	Count	Frequency (%)
	6	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	524	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	167	31.9%
d	73	13.9%
e	47	9.0%
i	46	8.8%
R	43	8.2%
u	43	8.2%
g	43	8.2%
E	35	6.7%
	6	1.1%
T	3	0.6%
Other values (6)	18	3.4%

_embedded.show.runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	22
Distinct (%)	36.1%
Missing	20
Missing (%)	24.7%
Infinite	0
Infinite (%)	0.0%
Mean	43.06557377

Minimum	2
Maximum	300
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	776.0 B

Quantile statistics

Minimum	2
5-th percentile	5
Q1	20
median	40
Q3	45
95-th percentile	120
Maximum	300
Range	298
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	42.39570295
Coefficient of variation (CV)	0.9844453292
Kurtosis	22.45864587
Mean	43.06557377
Median Absolute Deviation (MAD)	10
Skewness	4.064178305
Sum	2627
Variance	1797.395628
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
45	19	23.5%
30	5	6.2%
20	5	6.2%
60	3	3.7%
120	3	3.7%
25	3	3.7%
5	3	3.7%
37	2	2.5%
8	2	2.5%
12	2	2.5%
Other values (12)	14	17.3%
(Missing)	20	24.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	1.2%
4	1	1.2%
5	3	3.7%
8	2	2.5%
12	2	2.5%
15	1	1.2%
19	1	1.2%
20	5	6.2%
23	1	1.2%
25	3	3.7%

Value	Count	Frequency (%)
300	1	1.2%
120	3	3.7%
90	2	2.5%
60	3	3.7%
55	1	1.2%
45	19	23.5%
40	2	2.5%
37	2	2.5%
35	1	1.2%
33	1	1.2%

_embedded.show.averageRuntime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	37
Distinct (%)	48.1%
Missing	4
Missing (%)	4.9%
Infinite	0
Infinite (%)	0.0%
Mean	38.03896104

Minimum	2
Maximum	300
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	776.0 B

Quantile statistics

Minimum	2
5-th percentile	5
Q1	15
median	37
Q3	45
95-th percentile	91.6
Maximum	300
Range	298
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	38.37571928
Coefficient of variation (CV)	1.008852982
Kurtosis	28.53561808
Mean	38.03896104
Median Absolute Deviation (MAD)	12
Skewness	4.485326264
Sum	2929
Variance	1472.69583
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=37)

Value	Count	Frequency (%)
45	18	22.2%
5	5	6.2%
25	4	4.9%
44	4	4.9%
37	3	3.7%
30	3	3.7%
20	3	3.7%
60	2	2.5%
12	2	2.5%
11	2	2.5%
Other values (27)	31	38.3%
(Missing)	4	4.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	1.2%
4	1	1.2%
5	5	6.2%
6	1	1.2%
7	2	2.5%
8	1	1.2%
9	1	1.2%
11	2	2.5%
12	2	2.5%
13	1	1.2%

Value	Count	Frequency (%)
300	1	1.2%
120	1	1.2%
110	1	1.2%
98	1	1.2%
90	1	1.2%
77	1	1.2%
60	2	2.5%
59	1	1.2%
54	1	1.2%
45	18	22.2%

_embedded.show.premiered
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM

Distinct	61
Distinct (%)	75.3%
Missing	0
Missing (%)	0.0%
Memory size	776.0 B

2020-12-02	6
2020-11-23	4
2020-11-18	3
2020-11-25	2
2020-07-08	2
Other values (56)	64

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	810
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	48 ?
Unique (%)	59.3%

Sample

1st row	2019-04-03
2nd row	2020-11-30
3rd row	2020-04-14
4th row	2020-04-01
5th row	2020-07-11

Common Values

Value	Count	Frequency (%)
2020-12-02	6	7.4%
2020-11-23	4	4.9%
2020-11-18	3	3.7%
2020-11-25	2	2.5%
2020-07-08	2	2.5%
2020-11-30	2	2.5%
2020-11-08	2	2.5%
2020-10-07	2	2.5%
2020-11-17	2	2.5%
2020-11-03	2	2.5%
Other values (51)	54	66.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-02	6	7.4%
2020-11-23	4	4.9%
2020-11-18	3	3.7%
2020-11-17	2	2.5%
2020-11-04	2	2.5%
2020-11-24	2	2.5%
2020-11-03	2	2.5%
2020-11-19	2	2.5%
2020-10-07	2	2.5%
2020-11-08	2	2.5%
Other values (51)	54	66.7%

Most occurring characters

Value	Count	Frequency (%)
0	214	26.4%
2	174	21.5%
-	162	20.0%
1	140	17.3%
9	28	3.5%
4	22	2.7%
8	21	2.6%
3	20	2.5%
7	12	1.5%
5	11	1.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	648	80.0%
Dash Punctuation	162	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	214	33.0%
2	174	26.9%
1	140	21.6%
9	28	4.3%
4	22	3.4%
8	21	3.2%
3	20	3.1%
7	12	1.9%
5	11	1.7%
6	6	0.9%

Dash Punctuation

Value	Count	Frequency (%)
-	162	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	810	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	214	26.4%
2	174	21.5%
-	162	20.0%
1	140	17.3%
9	28	3.5%
4	22	2.7%
8	21	2.6%
3	20	2.5%
7	12	1.5%
5	11	1.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	810	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	214	26.4%
2	174	21.5%
-	162	20.0%
1	140	17.3%
9	28	3.5%
4	22	2.7%
8	21	2.6%
3	20	2.5%
7	12	1.5%
5	11	1.4%

_embedded.show.ended
Categorical

HIGH CORRELATION
MISSING

Distinct	15
Distinct (%)	42.9%
Missing	46
Missing (%)	56.8%
Memory size	776.0 B

2020-12-02	8
2020-12-16	5
2020-12-30	5
2020-12-08	2
2020-12-03	2
Other values (10)	13

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	350
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	20.0%

Sample

1st row	2020-12-11
2nd row	2020-12-10
3rd row	2020-12-16
4th row	2020-12-08
5th row	2020-12-08

Common Values

Value	Count	Frequency (%)
2020-12-02	8	9.9%
2020-12-16	5	6.2%
2020-12-30	5	6.2%
2020-12-08	2	2.5%
2020-12-03	2	2.5%
2020-12-22	2	2.5%
2020-12-23	2	2.5%
2021-01-14	2	2.5%
2020-12-11	1	1.2%
2020-12-10	1	1.2%
Other values (5)	5	6.2%
(Missing)	46	56.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-02	8	22.9%
2020-12-16	5	14.3%
2020-12-30	5	14.3%
2020-12-08	2	5.7%
2020-12-03	2	5.7%
2020-12-22	2	5.7%
2020-12-23	2	5.7%
2021-01-14	2	5.7%
2020-12-11	1	2.9%
2020-12-10	1	2.9%
Other values (5)	5	14.3%

Most occurring characters

Value	Count	Frequency (%)
2	118	33.7%
0	89	25.4%
-	70	20.0%
1	50	14.3%
3	9	2.6%
6	5	1.4%
8	3	0.9%
4	3	0.9%
7	1	0.3%
5	1	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	280	80.0%
Dash Punctuation	70	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	118	42.1%
0	89	31.8%
1	50	17.9%
3	9	3.2%
6	5	1.8%
8	3	1.1%
4	3	1.1%
7	1	0.4%
5	1	0.4%
9	1	0.4%

Dash Punctuation

Value	Count	Frequency (%)
-	70	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	350	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	118	33.7%
0	89	25.4%
-	70	20.0%
1	50	14.3%
3	9	2.6%
6	5	1.4%
8	3	0.9%
4	3	0.9%
7	1	0.3%
5	1	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	350	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	118	33.7%
0	89	25.4%
-	70	20.0%
1	50	14.3%
3	9	2.6%
6	5	1.4%
8	3	0.9%
4	3	0.9%
7	1	0.3%
5	1	0.3%

_embedded.show.officialSite
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING
UNIFORM

Distinct	59
Distinct (%)	86.8%
Missing	13
Missing (%)	16.0%
Memory size	776.0 B

https://www.netflix.com/title/80221410	4
https://tv.nrk.no/serie/gjoer-det-sjoel	2
https://v.qq.com/x/search/?q=+%E4%BB%8A%E5%A4%95%E4%BD%95%E5%A4%95&stag=0&smartbox_ab=	2
https://v.youku.com/v_show/id_XNDg2OTQ0ODAwOA==.html?s=dfbc7998206c499cac28	2
https://v.qq.com/detail/m/mzc00200tu76tos.html	2
Other values (54)	56

Length

Max length	97
Median length	68
Mean length	51.45588235
Min length	18

Characters and Unicode

Total characters	3499
Distinct characters	74
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	52 ?
Unique (%)	76.5%

Sample

1st row	https://www.youtube.com/playlist?list=PLZ1FUdedsrSJubWkFFh5vKHzawzQk1mYI
2nd row	http://epic-media.ru/project/kotiki
3rd row	https://v.qq.com/detail/a/awnia0n2erqryf3.html
4th row	https://v.qq.com/detail/m/mzc00200hc38s5x.html
5th row	https://v.qq.com/detail/w/ww18u675tfmhas6.html

Common Values

Value	Count	Frequency (%)
https://www.netflix.com/title/80221410	4	4.9%
https://tv.nrk.no/serie/gjoer-det-sjoel	2	2.5%
https://v.qq.com/x/search/?q=+%E4%BB%8A%E5%A4%95%E4%BD%95%E5%A4%95&stag=0&smartbox_ab=	2	2.5%
https://v.youku.com/v_show/id_XNDg2OTQ0ODAwOA==.html?s=dfbc7998206c499cac28	2	2.5%
https://v.qq.com/detail/m/mzc00200tu76tos.html	2	2.5%
https://www.iqiyi.com/a_19rrhskr95.html	2	2.5%
https://so.youku.com/search_video/q_%20%E6%9C%80%E5%88%9D%E7%9A%84%E7%9B%B8%E9%81%87?searchfrom=1	2	2.5%
https://www.youtube.com/playlist?list=PLZ1FUdedsrSJubWkFFh5vKHzawzQk1mYI	1	1.2%
https://discoveryplus.com/no/show/jan-thomas-verden	1	1.2%
https://elcinema.com/work/2061816/	1	1.2%
Other values (49)	49	60.5%
(Missing)	13	16.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.netflix.com/title/80221410	4	5.9%
https://v.qq.com/x/search/?q=+%e4%bb%8a%e5%a4%95%e4%bd%95%e5%a4%95&stag=0&smartbox_ab	2	2.9%
https://v.youku.com/v_show/id_xndg2otq0odawoa==.html?s=dfbc7998206c499cac28	2	2.9%
https://v.qq.com/detail/m/mzc00200tu76tos.html	2	2.9%
https://www.iqiyi.com/a_19rrhskr95.html	2	2.9%
https://so.youku.com/search_video/q_%20%e6%9c%80%e5%88%9d%e7%9a%84%e7%9b%b8%e9%81%87?searchfrom=1	2	2.9%
https://tv.nrk.no/serie/gjoer-det-sjoel	2	2.9%
https://tv.nrk.no/serie/stjernestoev	1	1.5%
http://www.melon.com/mma/index.htm	1	1.5%
https://salemsocial.kz/projects/orcestr	1	1.5%
Other values (49)	49	72.1%

Most occurring characters

Value	Count	Frequency (%)
/	279	8.0%
t	270	7.7%
s	184	5.3%
e	160	4.6%
o	159	4.5%
w	143	4.1%
.	136	3.9%
h	130	3.7%
i	110	3.1%
m	107	3.1%
Other values (64)	1821	52.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2270	64.9%
Other Punctuation	565	16.1%
Decimal Number	305	8.7%
Uppercase Letter	266	7.6%
Dash Punctuation	46	1.3%
Math Symbol	29	0.8%
Connector Punctuation	18	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	270	11.9%
s	184	8.1%
e	160	7.0%
o	159	7.0%
w	143	6.3%
h	130	5.7%
i	110	4.8%
m	107	4.7%
p	106	4.7%
c	104	4.6%
Other values (16)	797	35.1%

Uppercase Letter

Value	Count	Frequency (%)
E	26	9.8%
A	22	8.3%
B	19	7.1%
P	15	5.6%
Y	14	5.3%
L	12	4.5%
Q	11	4.1%
O	11	4.1%
C	11	4.1%
D	11	4.1%
Other values (16)	114	42.9%

Decimal Number

Value	Count	Frequency (%)
0	48	15.7%
9	38	12.5%
1	37	12.1%
8	36	11.8%
2	34	11.1%
5	29	9.5%
4	25	8.2%
6	24	7.9%
7	20	6.6%
3	14	4.6%

Other Punctuation

Value	Count	Frequency (%)
/	279	49.4%
.	136	24.1%
:	68	12.0%
%	57	10.1%
?	16	2.8%
&	7	1.2%
#	1	0.2%
!	1	0.2%

Math Symbol

Value	Count	Frequency (%)
=	27	93.1%
+	2	6.9%

Dash Punctuation

Value	Count	Frequency (%)
-	46	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	18	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2536	72.5%
Common	963	27.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	270	10.6%
s	184	7.3%
e	160	6.3%
o	159	6.3%
w	143	5.6%
h	130	5.1%
i	110	4.3%
m	107	4.2%
p	106	4.2%
c	104	4.1%
Other values (42)	1063	41.9%

Common

Value	Count	Frequency (%)
/	279	29.0%
.	136	14.1%
:	68	7.1%
%	57	5.9%
0	48	5.0%
-	46	4.8%
9	38	3.9%
1	37	3.8%
8	36	3.7%
2	34	3.5%
Other values (12)	184	19.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3499	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	279	8.0%
t	270	7.7%
s	184	5.3%
e	160	4.6%
o	159	4.5%
w	143	4.1%
.	136	3.9%
h	130	3.7%
i	110	3.1%
m	107	3.1%
Other values (64)	1821	52.0%

_embedded.show.schedule.time
Categorical

HIGH CORRELATION

Distinct	13
Distinct (%)	16.0%
Missing	0
Missing (%)	0.0%
Memory size	776.0 B

	47
20:00	13
10:00	5
12:00	3
06:00	2
Other values (8)	11

Length

Max length	5
Median length	0
Mean length	2.098765432
Min length	0

Characters and Unicode

Total characters	170
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	6.2%

Sample

1st row
2nd row	10:00
3rd row	11:00
4th row	10:00
5th row	10:00

Common Values

Value	Count	Frequency (%)
	47	58.0%
20:00	13	16.0%
10:00	5	6.2%
12:00	3	3.7%
06:00	2	2.5%
21:00	2	2.5%
00:00	2	2.5%
19:00	2	2.5%
11:00	1	1.2%
17:35	1	1.2%
Other values (3)	3	3.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
20:00	13	38.2%
10:00	5	14.7%
12:00	3	8.8%
06:00	2	5.9%
21:00	2	5.9%
00:00	2	5.9%
19:00	2	5.9%
11:00	1	2.9%
17:35	1	2.9%
18:00	1	2.9%
Other values (2)	2	5.9%

Most occurring characters

Value	Count	Frequency (%)
0	88	51.8%
:	34	20.0%
2	20	11.8%
1	18	10.6%
5	3	1.8%
6	2	1.2%
9	2	1.2%
7	1	0.6%
3	1	0.6%
8	1	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	136	80.0%
Other Punctuation	34	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	88	64.7%
2	20	14.7%
1	18	13.2%
5	3	2.2%
6	2	1.5%
9	2	1.5%
7	1	0.7%
3	1	0.7%
8	1	0.7%

Other Punctuation

Value	Count	Frequency (%)
:	34	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	170	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	88	51.8%
:	34	20.0%
2	20	11.8%
1	18	10.6%
5	3	1.8%
6	2	1.2%
9	2	1.2%
7	1	0.6%
3	1	0.6%
8	1	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	170	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	88	51.8%
:	34	20.0%
2	20	11.8%
1	18	10.6%
5	3	1.8%
6	2	1.2%
9	2	1.2%
7	1	0.6%
3	1	0.6%
8	1	0.6%

_embedded.show.schedule.days
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	776.0 B

_embedded.show.rating.average
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	33.3%
Missing	75
Missing (%)	92.6%
Memory size	776.0 B

7.7	4
7.2	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	7.2
2nd row	7.7
3rd row	7.7
4th row	7.7
5th row	7.7

Common Values

Value	Count	Frequency (%)
7.7	4	4.9%
7.2	2	2.5%
(Missing)	75	92.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
7.7	4	66.7%
7.2	2	33.3%

Most occurring characters

Value	Count	Frequency (%)
7	10	55.6%
.	6	33.3%
2	2	11.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	12	66.7%
Other Punctuation	6	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
7	10	83.3%
2	2	16.7%

Other Punctuation

Value	Count	Frequency (%)
.	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	18	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
7	10	55.6%
.	6	33.3%
2	2	11.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
7	10	55.6%
.	6	33.3%
2	2	11.1%

_embedded.show.weight
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	40
Distinct (%)	49.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	27.72839506

Minimum	3
Maximum	92
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	776.0 B

Quantile statistics

Minimum	3
5-th percentile	6
Q1	14
median	22
Q3	32
95-th percentile	78
Maximum	92
Range	89
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	21.08317596
Coefficient of variation (CV)	0.760346061
Kurtosis	1.425163199
Mean	27.72839506
Median Absolute Deviation (MAD)	9
Skewness	1.40511905
Sum	2246
Variance	444.5003086
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
21	5	6.2%
7	5	6.2%
24	5	6.2%
22	4	4.9%
20	4	4.9%
58	4	4.9%
16	3	3.7%
30	3	3.7%
31	3	3.7%
4	3	3.7%
Other values (30)	42	51.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3	1	1.2%
4	3	3.7%
6	2	2.5%
7	5	6.2%
8	2	2.5%
9	1	1.2%
10	1	1.2%
11	2	2.5%
12	1	1.2%
13	2	2.5%

Value	Count	Frequency (%)
92	1	1.2%
86	1	1.2%
83	1	1.2%
80	1	1.2%
78	1	1.2%
74	1	1.2%
62	1	1.2%
59	1	1.2%
58	4	4.9%
56	1	1.2%

_embedded.show.network
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	81
Missing (%)	100.0%
Memory size	776.0 B

_embedded.show.webChannel.id
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	31
Distinct (%)	39.2%
Missing	2
Missing (%)	2.5%
Infinite	0
Infinite (%)	0.0%
Mean	123.0253165

Minimum	1
Maximum	510
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	776.0 B

Quantile statistics

Minimum	1
5-th percentile	13.6
Q1	21
median	104
Q3	182
95-th percentile	379.1
Maximum	510
Range	509
Interquartile range (IQR)	161

Descriptive statistics

Standard deviation	121.5534044
Coefficient of variation (CV)	0.9880356978
Kurtosis	1.297827959
Mean	123.0253165
Median Absolute Deviation (MAD)	83
Skewness	1.362738959
Sum	9719
Variance	14775.23012
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
21	19	23.5%
104	13	16.0%
118	5	6.2%
1	4	4.9%
238	4	4.9%
67	4	4.9%
51	2	2.5%
226	2	2.5%
15	2	2.5%
327	2	2.5%
Other values (21)	22	27.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	4	4.9%
15	2	2.5%
20	1	1.2%
21	19	23.5%
30	1	1.2%
51	2	2.5%
54	1	1.2%
67	4	4.9%
83	1	1.2%
88	1	1.2%

Value	Count	Frequency (%)
510	1	1.2%
458	1	1.2%
452	1	1.2%
380	1	1.2%
379	2	2.5%
327	2	2.5%
311	1	1.2%
274	1	1.2%
240	1	1.2%
238	4	4.9%

_embedded.show.webChannel.name
Categorical

HIGH CORRELATION
MISSING

Distinct	31
Distinct (%)	39.2%
Missing	2
Missing (%)	2.5%
Memory size	776.0 B

YouTube	19
Tencent QQ	13
Youku	5
Netflix	4
NRK TV	4
Other values (26)	34

Length

Max length	17
Median length	14
Mean length	7.873417722
Min length	4

Characters and Unicode

Total characters	622
Distinct characters	52
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	20 ?
Unique (%)	25.3%

Sample

1st row	YouTube
2nd row	Epic Media
3rd row	Seezn
4th row	Tencent QQ
5th row	Tencent QQ

Common Values

Value	Count	Frequency (%)
YouTube	19	23.5%
Tencent QQ	13	16.0%
Youku	5	6.2%
Netflix	4	4.9%
NRK TV	4	4.9%
iQIYI	4	4.9%
Bilibili	2	2.5%
Mango TV	2	2.5%
WWE Network	2	2.5%
TV 2 Play	2	2.5%
Other values (21)	22	27.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
youtube	19	16.8%
qq	13	11.5%
tencent	13	11.5%
tv	9	8.0%
youku	5	4.4%
netflix	4	3.5%
nrk	4	3.5%
iqiyi	4	3.5%
2	2	1.8%
watch	2	1.8%
Other values (32)	38	33.6%

Most occurring characters

Value	Count	Frequency (%)
e	65	10.5%
u	56	9.0%
T	44	7.1%
o	39	6.3%
n	34	5.5%
	34	5.5%
Q	30	4.8%
t	28	4.5%
Y	28	4.5%
b	26	4.2%
Other values (42)	238	38.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	392	63.0%
Uppercase Letter	190	30.5%
Space Separator	34	5.5%
Decimal Number	2	0.3%
Math Symbol	2	0.3%
Other Punctuation	2	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	65	16.6%
u	56	14.3%
o	39	9.9%
n	34	8.7%
t	28	7.1%
b	26	6.6%
i	25	6.4%
c	19	4.8%
l	17	4.3%
a	17	4.3%
Other values (14)	66	16.8%

Uppercase Letter

Value	Count	Frequency (%)
T	44	23.2%
Q	30	15.8%
Y	28	14.7%
N	14	7.4%
V	12	6.3%
W	11	5.8%
I	10	5.3%
P	6	3.2%
R	5	2.6%
E	4	2.1%
Other values (13)	26	13.7%

Other Punctuation

Value	Count	Frequency (%)
!	1	50.0%
.	1	50.0%

Space Separator

Value	Count	Frequency (%)
	34	100.0%

Decimal Number

Value	Count	Frequency (%)
2	2	100.0%

Math Symbol

Value	Count	Frequency (%)
+	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	582	93.6%
Common	40	6.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	65	11.2%
u	56	9.6%
T	44	7.6%
o	39	6.7%
n	34	5.8%
Q	30	5.2%
t	28	4.8%
Y	28	4.8%
b	26	4.5%
i	25	4.3%
Other values (37)	207	35.6%

Common

Value	Count	Frequency (%)
	34	85.0%
2	2	5.0%
+	2	5.0%
!	1	2.5%
.	1	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	622	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	65	10.5%
u	56	9.0%
T	44	7.1%
o	39	6.3%
n	34	5.5%
	34	5.5%
Q	30	4.8%
t	28	4.5%
Y	28	4.5%
b	26	4.2%
Other values (42)	238	38.3%

_embedded.show.webChannel.country
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	81
Missing (%)	100.0%
Memory size	776.0 B

_embedded.show.webChannel.officialSite
Categorical

HIGH CORRELATION
MISSING

Distinct	12
Distinct (%)	24.5%
Missing	32
Missing (%)	39.5%
Memory size	776.0 B

https://www.youtube.com	19
https://v.qq.com/	13
https://www.iq.com/	4
https://www.netflix.com/	4
https://w.mgtv.com/	2
Other values (7)	7

Length

Max length	34
Median length	30
Mean length	21.6122449
Min length	17

Characters and Unicode

Total characters	1059
Distinct characters	27
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	14.3%

Sample

1st row	https://www.youtube.com
2nd row	https://www.seezntv.com/
3rd row	https://v.qq.com/
4th row	https://v.qq.com/
5th row	https://v.qq.com/

Common Values

Value	Count	Frequency (%)
https://www.youtube.com	19	23.5%
https://v.qq.com/	13	16.0%
https://www.iq.com/	4	4.9%
https://www.netflix.com/	4	4.9%
https://w.mgtv.com/	2	2.5%
https://www.seezntv.com/	1	1.2%
https://www.melon.com/tv/index.htm	1	1.2%
http://www.wowpresentsplus.com	1	1.2%
https://www.linetv.tw/	1	1.2%
https://www.discoveryplus.com/	1	1.2%
Other values (2)	2	2.5%
(Missing)	32	39.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.youtube.com	19	38.8%
https://v.qq.com	13	26.5%
https://www.iq.com	4	8.2%
https://www.netflix.com	4	8.2%
https://w.mgtv.com	2	4.1%
https://www.seezntv.com	1	2.0%
https://www.melon.com/tv/index.htm	1	2.0%
http://www.wowpresentsplus.com	1	2.0%
https://www.linetv.tw	1	2.0%
https://www.discoveryplus.com	1	2.0%
Other values (2)	2	4.1%

Most occurring characters

Value	Count	Frequency (%)
t	131	12.4%
/	128	12.1%
w	104	9.8%
.	99	9.3%
o	71	6.7%
s	55	5.2%
p	54	5.1%
m	53	5.0%
h	50	4.7%
c	49	4.6%
Other values (17)	265	25.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	783	73.9%
Other Punctuation	276	26.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	131	16.7%
w	104	13.3%
o	71	9.1%
s	55	7.0%
p	54	6.9%
m	53	6.8%
h	50	6.4%
c	49	6.3%
u	42	5.4%
e	32	4.1%
Other values (14)	142	18.1%

Other Punctuation

Value	Count	Frequency (%)
/	128	46.4%
.	99	35.9%
:	49	17.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	783	73.9%
Common	276	26.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	131	16.7%
w	104	13.3%
o	71	9.1%
s	55	7.0%
p	54	6.9%
m	53	6.8%
h	50	6.4%
c	49	6.3%
u	42	5.4%
e	32	4.1%
Other values (14)	142	18.1%

Common

Value	Count	Frequency (%)
/	128	46.4%
.	99	35.9%
:	49	17.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1059	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	131	12.4%
/	128	12.1%
w	104	9.8%
.	99	9.3%
o	71	6.7%
s	55	5.2%
p	54	5.1%
m	53	5.0%
h	50	4.7%
c	49	4.6%
Other values (17)	265	25.0%

_embedded.show.dvdCountry
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	81
Missing (%)	100.0%
Memory size	776.0 B

_embedded.show.externals.tvrage
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	2
Distinct (%)	100.0%
Missing	79
Missing (%)	97.5%
Memory size	776.0 B

19056.0	1
25100.0	1

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	14
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	100.0%

Sample

1st row	19056.0
2nd row	25100.0

Common Values

Value	Count	Frequency (%)
19056.0	1	1.2%
25100.0	1	1.2%
(Missing)	79	97.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
19056.0	1	50.0%
25100.0	1	50.0%

Most occurring characters

Value	Count	Frequency (%)
0	5	35.7%
1	2	14.3%
5	2	14.3%
.	2	14.3%
9	1	7.1%
6	1	7.1%
2	1	7.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	12	85.7%
Other Punctuation	2	14.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	5	41.7%
1	2	16.7%
5	2	16.7%
9	1	8.3%
6	1	8.3%
2	1	8.3%

Other Punctuation

Value	Count	Frequency (%)
.	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	14	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	5	35.7%
1	2	14.3%
5	2	14.3%
.	2	14.3%
9	1	7.1%
6	1	7.1%
2	1	7.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	14	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	5	35.7%
1	2	14.3%
5	2	14.3%
.	2	14.3%
9	1	7.1%
6	1	7.1%
2	1	7.1%

_embedded.show.externals.thetvdb
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	44
Distinct (%)	83.0%
Missing	28
Missing (%)	34.6%
Infinite	0
Infinite (%)	0.0%
Mean	363534.3019

Minimum	104271
Maximum	410086
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	776.0 B

Quantile statistics

Minimum	104271
5-th percentile	273353
Q1	360665
median	388680
Q3	392162
95-th percentile	393227.2
Maximum	410086
Range	305815
Interquartile range (IQR)	31497

Descriptive statistics

Standard deviation	57293.098
Coefficient of variation (CV)	0.1576002531
Kurtosis	10.8927361
Mean	363534.3019
Median Absolute Deviation (MAD)	5365
Skewness	-3.125243113
Sum	19267318
Variance	3282499078
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=44)

Value	Count	Frequency (%)
391877	4	4.9%
392162	2	2.5%
392214	2	2.5%
391408	2	2.5%
392362	2	2.5%
392679	2	2.5%
392410	2	2.5%
341800	1	1.2%
374464	1	1.2%
380975	1	1.2%
Other values (34)	34	42.0%
(Missing)	28	34.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
104271	1	1.2%
144541	1	1.2%
265193	1	1.2%
278793	1	1.2%
290686	1	1.2%
315061	1	1.2%
321364	1	1.2%
326962	1	1.2%
336628	1	1.2%
338687	1	1.2%

Value	Count	Frequency (%)
410086	1	1.2%
395235	1	1.2%
394045	1	1.2%
392682	1	1.2%
392679	2	2.5%
392649	1	1.2%
392410	2	2.5%
392362	2	2.5%
392214	2	2.5%
392162	2	2.5%

_embedded.show.externals.imdb
Categorical

HIGH CORRELATION
MISSING

Distinct	24
Distinct (%)	75.0%
Missing	49
Missing (%)	60.5%
Memory size	776.0 B

tt13464340	4
tt15561200	2
tt13568876	2
tt13539710	2
tt11384218	2
Other values (19)	20

Length

Max length	10
Median length	10
Mean length	9.71875
Min length	9

Characters and Unicode

Total characters	311
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	18 ?
Unique (%)	56.2%

Sample

1st row	tt13695606
2nd row	tt10960302
3rd row	tt13470370
4th row	tt13470370
5th row	tt11492320

Common Values

Value	Count	Frequency (%)
tt13464340	4	4.9%
tt15561200	2	2.5%
tt13568876	2	2.5%
tt13539710	2	2.5%
tt11384218	2	2.5%
tt13470370	2	2.5%
tt12428002	1	1.2%
tt12485636	1	1.2%
tt13419326	1	1.2%
tt0096597	1	1.2%
Other values (14)	14	17.3%
(Missing)	49	60.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
tt13464340	4	12.5%
tt13568876	2	6.2%
tt13539710	2	6.2%
tt11384218	2	6.2%
tt13470370	2	6.2%
tt15561200	2	6.2%
tt10960302	1	3.1%
tt9169598	1	3.1%
tt4087032	1	3.1%
tt6618922	1	3.1%
Other values (14)	14	43.8%

Most occurring characters

Value	Count	Frequency (%)
t	64	20.6%
1	43	13.8%
3	31	10.0%
6	31	10.0%
4	28	9.0%
0	28	9.0%
2	22	7.1%
8	20	6.4%
5	16	5.1%
9	15	4.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	247	79.4%
Lowercase Letter	64	20.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	43	17.4%
3	31	12.6%
6	31	12.6%
4	28	11.3%
0	28	11.3%
2	22	8.9%
8	20	8.1%
5	16	6.5%
9	15	6.1%
7	13	5.3%

Lowercase Letter

Value	Count	Frequency (%)
t	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	247	79.4%
Latin	64	20.6%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	43	17.4%
3	31	12.6%
6	31	12.6%
4	28	11.3%
0	28	11.3%
2	22	8.9%
8	20	8.1%
5	16	6.5%
9	15	6.1%
7	13	5.3%

Latin

Value	Count	Frequency (%)
t	64	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	311	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	64	20.6%
1	43	13.8%
3	31	10.0%
6	31	10.0%
4	28	9.0%
0	28	9.0%
2	22	7.1%
8	20	6.4%
5	16	5.1%
9	15	4.8%

_embedded.show.image.medium
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING
UNIFORM

Distinct	60
Distinct (%)	81.1%
Missing	7
Missing (%)	8.6%
Memory size	776.0 B

https://static.tvmaze.com/uploads/images/medium_portrait/287/719881.jpg	4
https://static.tvmaze.com/uploads/images/medium_portrait/285/713120.jpg	2
https://static.tvmaze.com/uploads/images/medium_portrait/285/714863.jpg	2
https://static.tvmaze.com/uploads/images/medium_portrait/291/729458.jpg	2
https://static.tvmaze.com/uploads/images/medium_portrait/288/721821.jpg	2
Other values (55)	62

Length

Max length	72
Median length	71
Mean length	71.04054054
Min length	70

Characters and Unicode

Total characters	5257
Distinct characters	32
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	48 ?
Unique (%)	64.9%

Sample

1st row	https://static.tvmaze.com/uploads/images/medium_portrait/315/789854.jpg
2nd row	https://static.tvmaze.com/uploads/images/medium_portrait/355/888089.jpg
3rd row	https://static.tvmaze.com/uploads/images/medium_portrait/283/709704.jpg
4th row	https://static.tvmaze.com/uploads/images/medium_portrait/259/648137.jpg
5th row	https://static.tvmaze.com/uploads/images/medium_portrait/270/675333.jpg

Common Values

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/medium_portrait/287/719881.jpg	4	4.9%
https://static.tvmaze.com/uploads/images/medium_portrait/285/713120.jpg	2	2.5%
https://static.tvmaze.com/uploads/images/medium_portrait/285/714863.jpg	2	2.5%
https://static.tvmaze.com/uploads/images/medium_portrait/291/729458.jpg	2	2.5%
https://static.tvmaze.com/uploads/images/medium_portrait/288/721821.jpg	2	2.5%
https://static.tvmaze.com/uploads/images/medium_portrait/370/926884.jpg	2	2.5%
https://static.tvmaze.com/uploads/images/medium_portrait/350/877137.jpg	2	2.5%
https://static.tvmaze.com/uploads/images/medium_portrait/284/711240.jpg	2	2.5%
https://static.tvmaze.com/uploads/images/medium_portrait/285/713100.jpg	2	2.5%
https://static.tvmaze.com/uploads/images/medium_portrait/285/713076.jpg	2	2.5%
Other values (50)	52	64.2%
(Missing)	7	8.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/medium_portrait/287/719881.jpg	4	5.4%
https://static.tvmaze.com/uploads/images/medium_portrait/284/711240.jpg	2	2.7%
https://static.tvmaze.com/uploads/images/medium_portrait/285/713120.jpg	2	2.7%
https://static.tvmaze.com/uploads/images/medium_portrait/285/713040.jpg	2	2.7%
https://static.tvmaze.com/uploads/images/medium_portrait/285/713076.jpg	2	2.7%
https://static.tvmaze.com/uploads/images/medium_portrait/285/713100.jpg	2	2.7%
https://static.tvmaze.com/uploads/images/medium_portrait/288/720951.jpg	2	2.7%
https://static.tvmaze.com/uploads/images/medium_portrait/350/877137.jpg	2	2.7%
https://static.tvmaze.com/uploads/images/medium_portrait/370/926884.jpg	2	2.7%
https://static.tvmaze.com/uploads/images/medium_portrait/288/721821.jpg	2	2.7%
Other values (50)	52	70.3%

Most occurring characters

Value	Count	Frequency (%)
t	518	9.9%
/	518	9.9%
a	370	7.0%
m	370	7.0%
p	296	5.6%
s	296	5.6%
i	296	5.6%
.	222	4.2%
e	222	4.2%
o	222	4.2%
Other values (22)	1927	36.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3700	70.4%
Other Punctuation	814	15.5%
Decimal Number	669	12.7%
Connector Punctuation	74	1.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	518	14.0%
a	370	10.0%
m	370	10.0%
p	296	8.0%
s	296	8.0%
i	296	8.0%
e	222	6.0%
o	222	6.0%
r	148	4.0%
c	148	4.0%
Other values (8)	814	22.0%

Decimal Number

Value	Count	Frequency (%)
8	89	13.3%
1	85	12.7%
2	83	12.4%
7	80	12.0%
3	65	9.7%
0	62	9.3%
5	57	8.5%
4	53	7.9%
6	48	7.2%
9	47	7.0%

Other Punctuation

Value	Count	Frequency (%)
/	518	63.6%
.	222	27.3%
:	74	9.1%

Connector Punctuation

Value	Count	Frequency (%)
_	74	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3700	70.4%
Common	1557	29.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	518	14.0%
a	370	10.0%
m	370	10.0%
p	296	8.0%
s	296	8.0%
i	296	8.0%
e	222	6.0%
o	222	6.0%
r	148	4.0%
c	148	4.0%
Other values (8)	814	22.0%

Common

Value	Count	Frequency (%)
/	518	33.3%
.	222	14.3%
8	89	5.7%
1	85	5.5%
2	83	5.3%
7	80	5.1%
_	74	4.8%
:	74	4.8%
3	65	4.2%
0	62	4.0%
Other values (4)	205	13.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5257	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	518	9.9%
/	518	9.9%
a	370	7.0%
m	370	7.0%
p	296	5.6%
s	296	5.6%
i	296	5.6%
.	222	4.2%
e	222	4.2%
o	222	4.2%
Other values (22)	1927	36.7%

_embedded.show.image.original
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING
UNIFORM

Distinct	60
Distinct (%)	81.1%
Missing	7
Missing (%)	8.6%
Memory size	776.0 B

https://static.tvmaze.com/uploads/images/original_untouched/287/719881.jpg	4
https://static.tvmaze.com/uploads/images/original_untouched/285/713120.jpg	2
https://static.tvmaze.com/uploads/images/original_untouched/285/714863.jpg	2
https://static.tvmaze.com/uploads/images/original_untouched/291/729458.jpg	2
https://static.tvmaze.com/uploads/images/original_untouched/288/721821.jpg	2
Other values (55)	62

Length

Max length	75
Median length	74
Mean length	74.04054054
Min length	73

Characters and Unicode

Total characters	5479
Distinct characters	33
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	48 ?
Unique (%)	64.9%

Sample

1st row	https://static.tvmaze.com/uploads/images/original_untouched/315/789854.jpg
2nd row	https://static.tvmaze.com/uploads/images/original_untouched/355/888089.jpg
3rd row	https://static.tvmaze.com/uploads/images/original_untouched/283/709704.jpg
4th row	https://static.tvmaze.com/uploads/images/original_untouched/259/648137.jpg
5th row	https://static.tvmaze.com/uploads/images/original_untouched/270/675333.jpg

Common Values

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/287/719881.jpg	4	4.9%
https://static.tvmaze.com/uploads/images/original_untouched/285/713120.jpg	2	2.5%
https://static.tvmaze.com/uploads/images/original_untouched/285/714863.jpg	2	2.5%
https://static.tvmaze.com/uploads/images/original_untouched/291/729458.jpg	2	2.5%
https://static.tvmaze.com/uploads/images/original_untouched/288/721821.jpg	2	2.5%
https://static.tvmaze.com/uploads/images/original_untouched/370/926884.jpg	2	2.5%
https://static.tvmaze.com/uploads/images/original_untouched/350/877137.jpg	2	2.5%
https://static.tvmaze.com/uploads/images/original_untouched/284/711240.jpg	2	2.5%
https://static.tvmaze.com/uploads/images/original_untouched/285/713100.jpg	2	2.5%
https://static.tvmaze.com/uploads/images/original_untouched/285/713076.jpg	2	2.5%
Other values (50)	52	64.2%
(Missing)	7	8.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/287/719881.jpg	4	5.4%
https://static.tvmaze.com/uploads/images/original_untouched/284/711240.jpg	2	2.7%
https://static.tvmaze.com/uploads/images/original_untouched/285/713120.jpg	2	2.7%
https://static.tvmaze.com/uploads/images/original_untouched/285/713040.jpg	2	2.7%
https://static.tvmaze.com/uploads/images/original_untouched/285/713076.jpg	2	2.7%
https://static.tvmaze.com/uploads/images/original_untouched/285/713100.jpg	2	2.7%
https://static.tvmaze.com/uploads/images/original_untouched/288/720951.jpg	2	2.7%
https://static.tvmaze.com/uploads/images/original_untouched/350/877137.jpg	2	2.7%
https://static.tvmaze.com/uploads/images/original_untouched/370/926884.jpg	2	2.7%
https://static.tvmaze.com/uploads/images/original_untouched/288/721821.jpg	2	2.7%
Other values (50)	52	70.3%

Most occurring characters

Value	Count	Frequency (%)
/	518	9.5%
t	444	8.1%
a	370	6.8%
s	296	5.4%
i	296	5.4%
o	296	5.4%
p	222	4.1%
c	222	4.1%
.	222	4.1%
g	222	4.1%
Other values (23)	2371	43.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3922	71.6%
Other Punctuation	814	14.9%
Decimal Number	669	12.2%
Connector Punctuation	74	1.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	444	11.3%
a	370	9.4%
s	296	7.5%
i	296	7.5%
o	296	7.5%
p	222	5.7%
c	222	5.7%
g	222	5.7%
m	222	5.7%
e	222	5.7%
Other values (9)	1110	28.3%

Decimal Number

Value	Count	Frequency (%)
8	89	13.3%
1	85	12.7%
2	83	12.4%
7	80	12.0%
3	65	9.7%
0	62	9.3%
5	57	8.5%
4	53	7.9%
6	48	7.2%
9	47	7.0%

Other Punctuation

Value	Count	Frequency (%)
/	518	63.6%
.	222	27.3%
:	74	9.1%

Connector Punctuation

Value	Count	Frequency (%)
_	74	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3922	71.6%
Common	1557	28.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	444	11.3%
a	370	9.4%
s	296	7.5%
i	296	7.5%
o	296	7.5%
p	222	5.7%
c	222	5.7%
g	222	5.7%
m	222	5.7%
e	222	5.7%
Other values (9)	1110	28.3%

Common

Value	Count	Frequency (%)
/	518	33.3%
.	222	14.3%
8	89	5.7%
1	85	5.5%
2	83	5.3%
7	80	5.1%
:	74	4.8%
_	74	4.8%
3	65	4.2%
0	62	4.0%
Other values (4)	205	13.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5479	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	518	9.5%
t	444	8.1%
a	370	6.8%
s	296	5.4%
i	296	5.4%
o	296	5.4%
p	222	4.1%
c	222	4.1%
.	222	4.1%
g	222	4.1%
Other values (23)	2371	43.3%

_embedded.show.summary
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING
UNIFORM

Distinct	53
Distinct (%)	81.5%
Missing	16
Missing (%)	19.8%
Memory size	776.0 B

<p>Applying the laws of life on Earth to the rest of the galaxy, this series blends science fact and fiction to imagine alien life on other planets.</p>	4
<p>Morten shows you how you can make something cool with what you have at home!</p>	2
<p>During the Yin Dynasty, Dong Yue, a brave general in the Dingyuan Rebellion, was sent back in time to stop a war that would claim the lives of countless innocents. She sets out to murder corrupted officer Lu Yuantong in an attempt to prevent war, and during her journey she met Feng Xi and Pang Yu. Pang Yu and Feng Xi were old friends who cared deeply for each other, but fell out and turn into enemies. While trying to reconcile the two brothers, Dong Yue also tries to stop Lu Yuantang's evil schemes which are poised to tear the nation apart with their help.</p>	2
<p>The police are investigating a case that involves a death directly caused by a rare bug known as the bullet ant. In order to clear his name, Tan Jingtian, an Insect toxicology graduate becomes involved in the bizzare investigation and collaborates with forensic doctor Jin Ling. As they dig deeper, they uncover the mystery behind his own identity.</p><p>Along with police captain Chen Han and the other detectives, they trace every clue as they solve one case at a time to uncover the murderer that has been in hiding for many years.</p>	2
<p>Pan, a desolate plastic surgeon, lived a repetitive and boring life every day until a conspiracy happened. He woke up in an abandoned factory, and found that someone had replaced his identity with a face exactly like him. His world has been completely overturned and left in a perilous situation. Can he overcome the difficulties and peel away the truth? How would he regain his identity?</p>	2
Other values (48)	53

Length

Max length	1084
Median length	278
Mean length	319.4615385
Min length	50

Characters and Unicode

Total characters	20765
Distinct characters	84
Distinct categories	10 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	43 ?
Unique (%)	66.2%

Sample

1st row	<p><b>Mermaid Prince</b> is about Hye Ri, who embarks on a graduation trip to Gangwon Province and meets Woo Hyuk, a mysterious guy who runs a guest house.</p>
2nd row	<p>The pure and cute little devil Nini lives in Room 1031 of Wan Sheng Street Apartment. His roommates are no ordinary people: The lazy and wacky vampire Ira who spends most of his time gaming or watching TV, the unlucky dancer werewolf Vladimir, the serious and old-fashioned angel landlord Lynn and his naive little sister Lily, and many more.<br /><br />What none of them realize is that the power of the demon king is sleeping inside of Nini. With evil forces in hot pursuit, can Nini and his friends head off disaster?</p>
3rd row	<p>In ancient Shenzhou, humans and demons had been in constant dispute for thousands of years. The demon princess from Tushan, Bai Binglan, and the human Zhang Kuangyun met each other due to a misunderstanding. In order to investigate the enemy country, Bai Binglan became Zhang Kuangyun's companion. As they travel together, Zhang Kuangyun discovers a conspiracy...</p>
4th row	<p>One will to create oceans. One will to summon the mulberry fields.<br /><br />One will to slaughter countless devils. One will to eradicate innumerable immortals.<br /><br />Only my will… is eternal.<br /><br />A Will Eternal tells the tale of Bai Xiaochun, an endearing but exasperating young man who is driven primarily by his fear of death and desire to live forever, but who deeply values friendship and family.<br /><br />(Source: Novel Updates)</p>
5th row	<p>Re-imagines famous firearms as moe girls with machine bodies that are known as T-Dolls.</p>

Common Values

Value	Count	Frequency (%)
<p>Applying the laws of life on Earth to the rest of the galaxy, this series blends science fact and fiction to imagine alien life on other planets.</p>	4	4.9%
<p>Morten shows you how you can make something cool with what you have at home!</p>	2	2.5%
<p>During the Yin Dynasty, Dong Yue, a brave general in the Dingyuan Rebellion, was sent back in time to stop a war that would claim the lives of countless innocents. She sets out to murder corrupted officer Lu Yuantong in an attempt to prevent war, and during her journey she met Feng Xi and Pang Yu. Pang Yu and Feng Xi were old friends who cared deeply for each other, but fell out and turn into enemies. While trying to reconcile the two brothers, Dong Yue also tries to stop Lu Yuantang's evil schemes which are poised to tear the nation apart with their help.</p>	2	2.5%
<p>The police are investigating a case that involves a death directly caused by a rare bug known as the bullet ant. In order to clear his name, Tan Jingtian, an Insect toxicology graduate becomes involved in the bizzare investigation and collaborates with forensic doctor Jin Ling. As they dig deeper, they uncover the mystery behind his own identity.</p><p>Along with police captain Chen Han and the other detectives, they trace every clue as they solve one case at a time to uncover the murderer that has been in hiding for many years.</p>	2	2.5%
<p>Pan, a desolate plastic surgeon, lived a repetitive and boring life every day until a conspiracy happened. He woke up in an abandoned factory, and found that someone had replaced his identity with a face exactly like him. His world has been completely overturned and left in a perilous situation. Can he overcome the difficulties and peel away the truth? How would he regain his identity?</p>	2	2.5%
<p>A story that follows a detective in the major crimes division of Nan Xing City Police Department. Together with a woman who has super memory, he upholds the law one case at a time in solving murders, burglaries and bringing down a narcotics manufacturing facility. Jing Chu is a young and capable detective. Due to his repeated merits from cracking big cases, he is promoted to the position of major crimes division vice-captain at Nan Xing city and starts to work alongside his new team. Because of a murder case, he meets Yang Mian Mian, a young woman who possesses a photographic memory. He soon realizes that Mian Mian seems to have a deep connection to his father's mysterious death many years ago. Meanwhile, a famous blogger and a member of an idol girl group die</p>	2	2.5%
<p>Merchant Jiang Shuo and his odd specialist companion Qin Yi Heng purchase frequented houses to exchange them. In any case, alarming things start to occur and each spooky house is by all accounts part of a major riddle. Jiang Shuo, Yi Heng, and police officer Yuan Mu Qing attempt to understand the riddle.</p>	2	2.5%
<p>‎Shen Moo, has no idea what adventures she will face. Beauty, is one of the best observers of Internet resources, but soon, in her head creeps the idea that in the universe there are mermaids. It's hard to believe, but for some reason, she can't get it out of her mind. Soon, she will have to take responsibility to prove their existence, otherwise, the dispute with the professor will turn out to be a real failure for the heroine. Together with the rescue team, they went to help the victims in The Xine Bay. Meet Ahn Xin - an athlete, will turn her reality. Unbelievable, but the guy is perceived as a mermaid. Of course, Mu Xin liked it madly, because she found a key witness and will be able to insist on her own. However, the mermaid man does his best to avoid revealing his real world.‎</p>	2	2.5%
<p>A story that follows people whose lives are entangled due to a complicated case. While investigating a drug cartel as an undercover cop, Yan Jin falls in love with the beautiful coffee shop owner Ji Xiao'ou.</p>	2	2.5%
<p>‎At the end of the 20th century, due to the sudden decision of Xin Shensheng, gao Shan's business went bankrupt. Gao Shan wants to prove his father's innocence, but on his way suddenly falls in love with the daughter of Xin Shensheng, Tsin Waugh. Learning about the intentions of Gao Shan, Xin Shansheng makes him quit his job. ‎<br /><br />‎Gao Shan decides to go to Hong Kong to start from scratch, where he meets a benefactor and earns his first million in his life. Under the guidance of a mentor, he goes to Beijing and becomes a well-known investor. Soon Gao Shan meets Tsin Vo, who became a financial headhunter. Can love help them find their way to each other again? ‎<br /><br />‎Based on the novel by Xiao Moli "Little Storm 1.0"‎</p>	2	2.5%
Other values (43)	43	53.1%
(Missing)	16	19.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	174	5.0%
and	118	3.4%
to	115	3.3%
a	106	3.0%
of	84	2.4%
in	65	1.9%
his	47	1.3%
with	41	1.2%
on	31	0.9%
that	28	0.8%
Other values (1255)	2693	76.9%

Most occurring characters

Value	Count	Frequency (%)
	3436	16.5%
e	1946	9.4%
a	1309	6.3%
t	1276	6.1%
n	1240	6.0%
i	1183	5.7%
o	1160	5.6%
s	977	4.7%
r	900	4.3%
h	771	3.7%
Other values (74)	6567	31.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15491	74.6%
Space Separator	3438	16.6%
Uppercase Letter	738	3.6%
Other Punctuation	574	2.8%
Math Symbol	416	2.0%
Dash Punctuation	41	0.2%
Decimal Number	37	0.2%
Format	16	0.1%
Open Punctuation	7	< 0.1%
Close Punctuation	7	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1946	12.6%
a	1309	8.5%
t	1276	8.2%
n	1240	8.0%
i	1183	7.6%
o	1160	7.5%
s	977	6.3%
r	900	5.8%
h	771	5.0%
l	644	4.2%
Other values (19)	4085	26.4%

Uppercase Letter

Value	Count	Frequency (%)
S	72	9.8%
T	54	7.3%
W	47	6.4%
H	45	6.1%
A	43	5.8%
M	43	5.8%
L	33	4.5%
E	32	4.3%
B	32	4.3%
D	31	4.2%
Other values (16)	306	41.5%

Other Punctuation

Value	Count	Frequency (%)
,	192	33.4%
.	173	30.1%
/	114	19.9%
'	46	8.0%
"	16	2.8%
!	13	2.3%
?	9	1.6%
:	5	0.9%
…	4	0.7%
;	1	0.2%

Decimal Number

Value	Count	Frequency (%)
0	11	29.7%
1	8	21.6%
2	6	16.2%
9	4	10.8%
8	3	8.1%
3	2	5.4%
7	2	5.4%
6	1	2.7%

Dash Punctuation

Value	Count	Frequency (%)
-	33	80.5%
—	7	17.1%
–	1	2.4%

Space Separator

Value	Count	Frequency (%)
	3436	99.9%
	2	0.1%

Math Symbol

Value	Count	Frequency (%)
>	208	50.0%
<	208	50.0%

Format

Value	Count	Frequency (%)
‎	16	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	7	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	7	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16229	78.2%
Common	4536	21.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1946	12.0%
a	1309	8.1%
t	1276	7.9%
n	1240	7.6%
i	1183	7.3%
o	1160	7.1%
s	977	6.0%
r	900	5.5%
h	771	4.8%
l	644	4.0%
Other values (45)	4823	29.7%

Common

Value	Count	Frequency (%)
	3436	75.7%
>	208	4.6%
<	208	4.6%
,	192	4.2%
.	173	3.8%
/	114	2.5%
'	46	1.0%
-	33	0.7%
"	16	0.4%
‎	16	0.4%
Other values (19)	94	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	20732	99.8%
Punctuation	28	0.1%
None	5	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	3436	16.6%
e	1946	9.4%
a	1309	6.3%
t	1276	6.2%
n	1240	6.0%
i	1183	5.7%
o	1160	5.6%
s	977	4.7%
r	900	4.3%
h	771	3.7%
Other values (66)	6534	31.5%

Punctuation

Value	Count	Frequency (%)
‎	16	57.1%
—	7	25.0%
…	4	14.3%
–	1	3.6%

None

Value	Count	Frequency (%)
	2	40.0%
æ	1	20.0%
å	1	20.0%
é	1	20.0%

_embedded.show.updated
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	67
Distinct (%)	82.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1639510363

Minimum	1607104092
Maximum	1662346277
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	776.0 B

Quantile statistics

Minimum	1607104092
5-th percentile	1609060726
Q1	1619633499
median	1645039616
Q3	1654445312
95-th percentile	1662050133
Maximum	1662346277
Range	55242185
Interquartile range (IQR)	34811813

Descriptive statistics

Standard deviation	18885420.07
Coefficient of variation (CV)	0.01151893913
Kurtosis	-1.173834852
Mean	1639510363
Median Absolute Deviation (MAD)	12450400
Skewness	-0.5387319133
Sum	1.328003394 × 10¹¹
Variance	3.566590912 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1648328810	4	4.9%
1609535141	2	2.5%
1650826480	2	2.5%
1619633499	2	2.5%
1609060726	2	2.5%
1654977444	2	2.5%
1609606854	2	2.5%
1607697965	2	2.5%
1657490016	2	2.5%
1635735179	2	2.5%
Other values (57)	59	72.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1607104092	1	1.2%
1607697965	2	2.5%
1609060726	2	2.5%
1609535141	2	2.5%
1609606854	2	2.5%
1610205155	1	1.2%
1610812526	1	1.2%
1610890340	1	1.2%
1611436842	1	1.2%
1612007831	1	1.2%

Value	Count	Frequency (%)
1662346277	1	1.2%
1662275668	1	1.2%
1662262961	1	1.2%
1662217931	1	1.2%
1662050133	1	1.2%
1661969159	1	1.2%
1661872561	1	1.2%
1661485729	1	1.2%
1661363667	1	1.2%
1661363644	1	1.2%

_embedded.show._links.self.href
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM

Distinct	67
Distinct (%)	82.7%
Missing	0
Missing (%)	0.0%
Memory size	776.0 B

https://api.tvmaze.com/shows/51927	4
https://api.tvmaze.com/shows/52104	2
https://api.tvmaze.com/shows/52108	2
https://api.tvmaze.com/shows/52421	2
https://api.tvmaze.com/shows/52159	2
Other values (62)	69

Length

Max length	34
Median length	34
Mean length	33.97530864
Min length	33

Characters and Unicode

Total characters	2752
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	55 ?
Unique (%)	67.9%

Sample

1st row	https://api.tvmaze.com/shows/49630
2nd row	https://api.tvmaze.com/shows/52198
3rd row	https://api.tvmaze.com/shows/47207
4th row	https://api.tvmaze.com/shows/48395
5th row	https://api.tvmaze.com/shows/49206

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/shows/51927	4	4.9%
https://api.tvmaze.com/shows/52104	2	2.5%
https://api.tvmaze.com/shows/52108	2	2.5%
https://api.tvmaze.com/shows/52421	2	2.5%
https://api.tvmaze.com/shows/52159	2	2.5%
https://api.tvmaze.com/shows/52780	2	2.5%
https://api.tvmaze.com/shows/51870	2	2.5%
https://api.tvmaze.com/shows/52038	2	2.5%
https://api.tvmaze.com/shows/57030	2	2.5%
https://api.tvmaze.com/shows/58689	2	2.5%
Other values (57)	59	72.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://api.tvmaze.com/shows/51927	4	4.9%
https://api.tvmaze.com/shows/51870	2	2.5%
https://api.tvmaze.com/shows/52107	2	2.5%
https://api.tvmaze.com/shows/52106	2	2.5%
https://api.tvmaze.com/shows/58689	2	2.5%
https://api.tvmaze.com/shows/52038	2	2.5%
https://api.tvmaze.com/shows/57030	2	2.5%
https://api.tvmaze.com/shows/52780	2	2.5%
https://api.tvmaze.com/shows/52159	2	2.5%
https://api.tvmaze.com/shows/52421	2	2.5%
Other values (57)	59	72.8%

Most occurring characters

Value	Count	Frequency (%)
/	324	11.8%
s	243	8.8%
t	243	8.8%
h	162	5.9%
p	162	5.9%
a	162	5.9%
o	162	5.9%
.	162	5.9%
m	162	5.9%
e	81	2.9%
Other values (16)	889	32.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1782	64.8%
Other Punctuation	567	20.6%
Decimal Number	403	14.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	243	13.6%
t	243	13.6%
h	162	9.1%
p	162	9.1%
a	162	9.1%
o	162	9.1%
m	162	9.1%
e	81	4.5%
w	81	4.5%
c	81	4.5%
Other values (3)	243	13.6%

Decimal Number

Value	Count	Frequency (%)
5	73	18.1%
4	49	12.2%
1	44	10.9%
2	42	10.4%
7	35	8.7%
0	35	8.7%
6	35	8.7%
9	33	8.2%
3	31	7.7%
8	26	6.5%

Other Punctuation

Value	Count	Frequency (%)
/	324	57.1%
.	162	28.6%
:	81	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1782	64.8%
Common	970	35.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	324	33.4%
.	162	16.7%
:	81	8.4%
5	73	7.5%
4	49	5.1%
1	44	4.5%
2	42	4.3%
7	35	3.6%
0	35	3.6%
6	35	3.6%
Other values (3)	90	9.3%

Latin

Value	Count	Frequency (%)
s	243	13.6%
t	243	13.6%
h	162	9.1%
p	162	9.1%
a	162	9.1%
o	162	9.1%
m	162	9.1%
e	81	4.5%
w	81	4.5%
c	81	4.5%
Other values (3)	243	13.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2752	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	324	11.8%
s	243	8.8%
t	243	8.8%
h	162	5.9%
p	162	5.9%
a	162	5.9%
o	162	5.9%
.	162	5.9%
m	162	5.9%
e	81	2.9%
Other values (16)	889	32.3%

_embedded.show._links.previousepisode.href
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM

Distinct	67
Distinct (%)	82.7%
Missing	0
Missing (%)	0.0%
Memory size	776.0 B

https://api.tvmaze.com/episodes/1978291	4
https://api.tvmaze.com/episodes/1976054	2
https://api.tvmaze.com/episodes/1976202	2
https://api.tvmaze.com/episodes/1985496	2
https://api.tvmaze.com/episodes/1977651	2
Other values (62)	69

Length

Max length	39
Median length	39
Mean length	39
Min length	39

Characters and Unicode

Total characters	3159
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	55 ?
Unique (%)	67.9%

Sample

1st row	https://api.tvmaze.com/episodes/2380515
2nd row	https://api.tvmaze.com/episodes/1986873
3rd row	https://api.tvmaze.com/episodes/1971570
4th row	https://api.tvmaze.com/episodes/2280228
5th row	https://api.tvmaze.com/episodes/2386129

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1978291	4	4.9%
https://api.tvmaze.com/episodes/1976054	2	2.5%
https://api.tvmaze.com/episodes/1976202	2	2.5%
https://api.tvmaze.com/episodes/1985496	2	2.5%
https://api.tvmaze.com/episodes/1977651	2	2.5%
https://api.tvmaze.com/episodes/1998538	2	2.5%
https://api.tvmaze.com/episodes/1968550	2	2.5%
https://api.tvmaze.com/episodes/1973545	2	2.5%
https://api.tvmaze.com/episodes/2170127	2	2.5%
https://api.tvmaze.com/episodes/2205983	2	2.5%
Other values (57)	59	72.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1978291	4	4.9%
https://api.tvmaze.com/episodes/1968550	2	2.5%
https://api.tvmaze.com/episodes/1976166	2	2.5%
https://api.tvmaze.com/episodes/1976137	2	2.5%
https://api.tvmaze.com/episodes/2205983	2	2.5%
https://api.tvmaze.com/episodes/1973545	2	2.5%
https://api.tvmaze.com/episodes/2170127	2	2.5%
https://api.tvmaze.com/episodes/1998538	2	2.5%
https://api.tvmaze.com/episodes/1977651	2	2.5%
https://api.tvmaze.com/episodes/1985496	2	2.5%
Other values (57)	59	72.8%

Most occurring characters

Value	Count	Frequency (%)
/	324	10.3%
t	243	7.7%
p	243	7.7%
s	243	7.7%
e	243	7.7%
a	162	5.1%
i	162	5.1%
.	162	5.1%
m	162	5.1%
o	162	5.1%
Other values (16)	1053	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2025	64.1%
Other Punctuation	567	17.9%
Decimal Number	567	17.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	243	12.0%
p	243	12.0%
s	243	12.0%
e	243	12.0%
a	162	8.0%
i	162	8.0%
m	162	8.0%
o	162	8.0%
h	81	4.0%
d	81	4.0%
Other values (3)	243	12.0%

Decimal Number

Value	Count	Frequency (%)
2	101	17.8%
1	72	12.7%
9	70	12.3%
7	64	11.3%
3	51	9.0%
5	48	8.5%
0	47	8.3%
6	43	7.6%
8	41	7.2%
4	30	5.3%

Other Punctuation

Value	Count	Frequency (%)
/	324	57.1%
.	162	28.6%
:	81	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2025	64.1%
Common	1134	35.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	324	28.6%
.	162	14.3%
2	101	8.9%
:	81	7.1%
1	72	6.3%
9	70	6.2%
7	64	5.6%
3	51	4.5%
5	48	4.2%
0	47	4.1%
Other values (3)	114	10.1%

Latin

Value	Count	Frequency (%)
t	243	12.0%
p	243	12.0%
s	243	12.0%
e	243	12.0%
a	162	8.0%
i	162	8.0%
m	162	8.0%
o	162	8.0%
h	81	4.0%
d	81	4.0%
Other values (3)	243	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3159	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	324	10.3%
t	243	7.7%
p	243	7.7%
s	243	7.7%
e	243	7.7%
a	162	5.1%
i	162	5.1%
.	162	5.1%
m	162	5.1%
o	162	5.1%
Other values (16)	1053	33.3%

image
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	81
Missing (%)	100.0%
Memory size	776.0 B

_embedded.show.webChannel.country.name
Categorical

HIGH CORRELATION
MISSING

Distinct	10
Distinct (%)	23.3%
Missing	38
Missing (%)	46.9%
Memory size	776.0 B

China	22
Norway	6
United States	5
Korea, Republic of	3
Russian Federation	2
Other values (5)	5

Length

Max length	18
Median length	5
Mean length	7.930232558
Min length	5

Characters and Unicode

Total characters	341
Distinct characters	34
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	11.6%

Sample

1st row	Russian Federation
2nd row	Korea, Republic of
3rd row	China
4th row	China
5th row	China

Common Values

Value	Count	Frequency (%)
China	22	27.2%
Norway	6	7.4%
United States	5	6.2%
Korea, Republic of	3	3.7%
Russian Federation	2	2.5%
United Kingdom	1	1.2%
Kazakhstan	1	1.2%
Japan	1	1.2%
Egypt	1	1.2%
Brazil	1	1.2%
(Missing)	38	46.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
china	22	38.6%
norway	6	10.5%
united	6	10.5%
states	5	8.8%
korea	3	5.3%
republic	3	5.3%
of	3	5.3%
russian	2	3.5%
federation	2	3.5%
kingdom	1	1.8%
Other values (4)	4	7.0%

Most occurring characters

Value	Count	Frequency (%)
a	46	13.5%
i	37	10.9%
n	35	10.3%
h	23	6.7%
C	22	6.5%
e	21	6.2%
t	20	5.9%
o	15	4.4%
	14	4.1%
r	12	3.5%
Other values (24)	96	28.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	270	79.2%
Uppercase Letter	54	15.8%
Space Separator	14	4.1%
Other Punctuation	3	0.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	46	17.0%
i	37	13.7%
n	35	13.0%
h	23	8.5%
e	21	7.8%
t	20	7.4%
o	15	5.6%
r	12	4.4%
s	10	3.7%
d	9	3.3%
Other values (12)	42	15.6%

Uppercase Letter

Value	Count	Frequency (%)
C	22	40.7%
U	6	11.1%
N	6	11.1%
R	5	9.3%
K	5	9.3%
S	5	9.3%
F	2	3.7%
J	1	1.9%
E	1	1.9%
B	1	1.9%

Space Separator

Value	Count	Frequency (%)
	14	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	324	95.0%
Common	17	5.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	46	14.2%
i	37	11.4%
n	35	10.8%
h	23	7.1%
C	22	6.8%
e	21	6.5%
t	20	6.2%
o	15	4.6%
r	12	3.7%
s	10	3.1%
Other values (22)	83	25.6%

Common

Value	Count	Frequency (%)
	14	82.4%
,	3	17.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	341	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	46	13.5%
i	37	10.9%
n	35	10.3%
h	23	6.7%
C	22	6.5%
e	21	6.2%
t	20	5.9%
o	15	4.4%
	14	4.1%
r	12	3.5%
Other values (24)	96	28.2%

_embedded.show.webChannel.country.code
Categorical

HIGH CORRELATION
MISSING

Distinct	10
Distinct (%)	23.3%
Missing	38
Missing (%)	46.9%
Memory size	776.0 B

CN	22
NO	6
US	5
KR	3
RU	2
Other values (5)	5

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	86
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	11.6%

Sample

1st row	RU
2nd row	KR
3rd row	CN
4th row	CN
5th row	CN

Common Values

Value	Count	Frequency (%)
CN	22	27.2%
NO	6	7.4%
US	5	6.2%
KR	3	3.7%
RU	2	2.5%
GB	1	1.2%
KZ	1	1.2%
JP	1	1.2%
EG	1	1.2%
BR	1	1.2%
(Missing)	38	46.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
cn	22	51.2%
no	6	14.0%
us	5	11.6%
kr	3	7.0%
ru	2	4.7%
gb	1	2.3%
kz	1	2.3%
jp	1	2.3%
eg	1	2.3%
br	1	2.3%

Most occurring characters

Value	Count	Frequency (%)
N	28	32.6%
C	22	25.6%
U	7	8.1%
O	6	7.0%
R	6	7.0%
S	5	5.8%
K	4	4.7%
G	2	2.3%
B	2	2.3%
Z	1	1.2%
Other values (3)	3	3.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	86	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
N	28	32.6%
C	22	25.6%
U	7	8.1%
O	6	7.0%
R	6	7.0%
S	5	5.8%
K	4	4.7%
G	2	2.3%
B	2	2.3%
Z	1	1.2%
Other values (3)	3	3.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	86	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	28	32.6%
C	22	25.6%
U	7	8.1%
O	6	7.0%
R	6	7.0%
S	5	5.8%
K	4	4.7%
G	2	2.3%
B	2	2.3%
Z	1	1.2%
Other values (3)	3	3.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	86	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	28	32.6%
C	22	25.6%
U	7	8.1%
O	6	7.0%
R	6	7.0%
S	5	5.8%
K	4	4.7%
G	2	2.3%
B	2	2.3%
Z	1	1.2%
Other values (3)	3	3.5%

_embedded.show.webChannel.country.timezone
Categorical

HIGH CORRELATION
MISSING

Distinct	10
Distinct (%)	23.3%
Missing	38
Missing (%)	46.9%
Memory size	776.0 B

Asia/Shanghai	22
Europe/Oslo	6
America/New_York	5
Asia/Seoul	3
Asia/Kamchatka	2
Other values (5)	5

Length

Max length	16
Median length	13
Mean length	12.88372093
Min length	10

Characters and Unicode

Total characters	554
Distinct characters	34
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	11.6%

Sample

1st row	Asia/Kamchatka
2nd row	Asia/Seoul
3rd row	Asia/Shanghai
4th row	Asia/Shanghai
5th row	Asia/Shanghai

Common Values

Value	Count	Frequency (%)
Asia/Shanghai	22	27.2%
Europe/Oslo	6	7.4%
America/New_York	5	6.2%
Asia/Seoul	3	3.7%
Asia/Kamchatka	2	2.5%
Europe/London	1	1.2%
Asia/Qyzylorda	1	1.2%
Asia/Tokyo	1	1.2%
Africa/Cairo	1	1.2%
America/Noronha	1	1.2%
(Missing)	38	46.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
asia/shanghai	22	51.2%
europe/oslo	6	14.0%
america/new_york	5	11.6%
asia/seoul	3	7.0%
asia/kamchatka	2	4.7%
europe/london	1	2.3%
asia/qyzylorda	1	2.3%
asia/tokyo	1	2.3%
africa/cairo	1	2.3%
america/noronha	1	2.3%

Most occurring characters

Value	Count	Frequency (%)
a	89	16.1%
i	59	10.6%
h	47	8.5%
/	43	7.8%
A	36	6.5%
s	35	6.3%
o	29	5.2%
S	25	4.5%
n	25	4.5%
g	22	4.0%
Other values (24)	144	26.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	415	74.9%
Uppercase Letter	91	16.4%
Other Punctuation	43	7.8%
Connector Punctuation	5	0.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	89	21.4%
i	59	14.2%
h	47	11.3%
s	35	8.4%
o	29	7.0%
n	25	6.0%
g	22	5.3%
r	22	5.3%
e	21	5.1%
l	10	2.4%
Other values (11)	56	13.5%

Uppercase Letter

Value	Count	Frequency (%)
A	36	39.6%
S	25	27.5%
E	7	7.7%
O	6	6.6%
N	6	6.6%
Y	5	5.5%
K	2	2.2%
L	1	1.1%
Q	1	1.1%
T	1	1.1%

Other Punctuation

Value	Count	Frequency (%)
/	43	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	506	91.3%
Common	48	8.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	89	17.6%
i	59	11.7%
h	47	9.3%
A	36	7.1%
s	35	6.9%
o	29	5.7%
S	25	4.9%
n	25	4.9%
g	22	4.3%
r	22	4.3%
Other values (22)	117	23.1%

Common

Value	Count	Frequency (%)
/	43	89.6%
_	5	10.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	554	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	89	16.1%
i	59	10.6%
h	47	8.5%
/	43	7.8%
A	36	6.5%
s	35	6.3%
o	29	5.2%
S	25	4.5%
n	25	4.5%
g	22	4.0%
Other values (24)	144	26.0%

_embedded.show._links.nextepisode.href
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct	6
Distinct (%)	100.0%
Missing	75
Missing (%)	92.6%
Memory size	776.0 B

https://api.tvmaze.com/episodes/2374449	1
https://api.tvmaze.com/episodes/2373586	1
https://api.tvmaze.com/episodes/2376729	1
https://api.tvmaze.com/episodes/2371586	1
https://api.tvmaze.com/episodes/2379703	1

Length

Max length	39
Median length	39
Mean length	39
Min length	39

Characters and Unicode

Total characters	234
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	100.0%

Sample

1st row	https://api.tvmaze.com/episodes/2374449
2nd row	https://api.tvmaze.com/episodes/2373586
3rd row	https://api.tvmaze.com/episodes/2376729
4th row	https://api.tvmaze.com/episodes/2371586
5th row	https://api.tvmaze.com/episodes/2379703

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/2374449	1	1.2%
https://api.tvmaze.com/episodes/2373586	1	1.2%
https://api.tvmaze.com/episodes/2376729	1	1.2%
https://api.tvmaze.com/episodes/2371586	1	1.2%
https://api.tvmaze.com/episodes/2379703	1	1.2%
https://api.tvmaze.com/episodes/2367107	1	1.2%
(Missing)	75	92.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/2374449	1	16.7%
https://api.tvmaze.com/episodes/2373586	1	16.7%
https://api.tvmaze.com/episodes/2376729	1	16.7%
https://api.tvmaze.com/episodes/2371586	1	16.7%
https://api.tvmaze.com/episodes/2379703	1	16.7%
https://api.tvmaze.com/episodes/2367107	1	16.7%

Most occurring characters

Value	Count	Frequency (%)
/	24	10.3%
p	18	7.7%
s	18	7.7%
e	18	7.7%
t	18	7.7%
a	12	5.1%
i	12	5.1%
.	12	5.1%
m	12	5.1%
o	12	5.1%
Other values (16)	78	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	150	64.1%
Other Punctuation	42	17.9%
Decimal Number	42	17.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
p	18	12.0%
s	18	12.0%
e	18	12.0%
t	18	12.0%
a	12	8.0%
i	12	8.0%
m	12	8.0%
o	12	8.0%
h	6	4.0%
d	6	4.0%
Other values (3)	18	12.0%

Decimal Number

Value	Count	Frequency (%)
7	9	21.4%
3	8	19.0%
2	7	16.7%
6	4	9.5%
4	3	7.1%
9	3	7.1%
5	2	4.8%
8	2	4.8%
1	2	4.8%
0	2	4.8%

Other Punctuation

Value	Count	Frequency (%)
/	24	57.1%
.	12	28.6%
:	6	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	150	64.1%
Common	84	35.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	24	28.6%
.	12	14.3%
7	9	10.7%
3	8	9.5%
2	7	8.3%
:	6	7.1%
6	4	4.8%
4	3	3.6%
9	3	3.6%
5	2	2.4%
Other values (3)	6	7.1%

Latin

Value	Count	Frequency (%)
p	18	12.0%
s	18	12.0%
e	18	12.0%
t	18	12.0%
a	12	8.0%
i	12	8.0%
m	12	8.0%
o	12	8.0%
h	6	4.0%
d	6	4.0%
Other values (3)	18	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	234	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	24	10.3%
p	18	7.7%
s	18	7.7%
e	18	7.7%
t	18	7.7%
a	12	5.1%
i	12	5.1%
.	12	5.1%
m	12	5.1%
o	12	5.1%
Other values (16)	78	33.3%

_embedded.show.network.id
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	8
Distinct (%)	100.0%
Missing	73
Missing (%)	90.1%
Infinite	0
Infinite (%)	0.0%
Mean	638.625

Minimum	30
Maximum	1862
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	776.0 B

Quantile statistics

Minimum	30
5-th percentile	58.7
Q1	127
median	388
Q3	806.25
95-th percentile	1799.35
Maximum	1862
Range	1832
Interquartile range (IQR)	679.25

Descriptive statistics

Standard deviation	720.4504419
Coefficient of variation (CV)	1.128127527
Kurtosis	-0.1685403428
Mean	638.625
Median Absolute Deviation (MAD)	266
Skewness	1.240214512
Sum	5109
Variance	519048.8393
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
514	1	1.2%
1862	1	1.2%
1683	1	1.2%
374	1	1.2%
402	1	1.2%
112	1	1.2%
30	1	1.2%
132	1	1.2%
(Missing)	73	90.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
30	1	1.2%
112	1	1.2%
132	1	1.2%
374	1	1.2%
402	1	1.2%
514	1	1.2%
1683	1	1.2%
1862	1	1.2%

Value	Count	Frequency (%)
1862	1	1.2%
1683	1	1.2%
514	1	1.2%
402	1	1.2%
374	1	1.2%
132	1	1.2%
112	1	1.2%
30	1	1.2%

_embedded.show.network.name
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct	8
Distinct (%)	100.0%
Missing	73
Missing (%)	90.1%
Memory size	776.0 B

ТВ-3	1
AfricaMagic Showcase	1
DMC	1
TV Globo	1
Новий Канал	1
Other values (3)	3

Length

Max length	20
Median length	9.5
Mean length	8.625
Min length	3

Characters and Unicode

Total characters	69
Distinct characters	44
Distinct categories	5 ?
Distinct scripts	3 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	100.0%

Sample

1st row	ТВ-3
2nd row	AfricaMagic Showcase
3rd row	DMC
4th row	TV Globo
5th row	Новий Канал

Common Values

Value	Count	Frequency (%)
ТВ-3	1	1.2%
AfricaMagic Showcase	1	1.2%
DMC	1	1.2%
TV Globo	1	1.2%
Новий Канал	1	1.2%
RTL4	1	1.2%
USA Network	1	1.2%
Tokyo MX	1	1.2%
(Missing)	73	90.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
тв-3	1	7.7%
africamagic	1	7.7%
showcase	1	7.7%
dmc	1	7.7%
tv	1	7.7%
globo	1	7.7%
новий	1	7.7%
канал	1	7.7%
rtl4	1	7.7%
usa	1	7.7%
Other values (3)	3	23.1%

Most occurring characters

Value	Count	Frequency (%)
o	6	8.7%
	5	7.2%
M	3	4.3%
c	3	4.3%
a	3	4.3%
T	3	4.3%
r	2	2.9%
i	2	2.9%
A	2	2.9%
а	2	2.9%
Other values (34)	38	55.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	38	55.1%
Uppercase Letter	23	33.3%
Space Separator	5	7.2%
Decimal Number	2	2.9%
Dash Punctuation	1	1.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	6	15.8%
c	3	7.9%
a	3	7.9%
r	2	5.3%
i	2	5.3%
а	2	5.3%
k	2	5.3%
w	2	5.3%
e	2	5.3%
н	1	2.6%
Other values (13)	13	34.2%

Uppercase Letter

Value	Count	Frequency (%)
M	3	13.0%
T	3	13.0%
A	2	8.7%
S	2	8.7%
К	1	4.3%
R	1	4.3%
Т	1	4.3%
U	1	4.3%
L	1	4.3%
N	1	4.3%
Other values (7)	7	30.4%

Decimal Number

Value	Count	Frequency (%)
4	1	50.0%
3	1	50.0%

Space Separator

Value	Count	Frequency (%)
	5	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	49	71.0%
Cyrillic	12	17.4%
Common	8	11.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	6	12.2%
M	3	6.1%
c	3	6.1%
a	3	6.1%
T	3	6.1%
r	2	4.1%
i	2	4.1%
A	2	4.1%
k	2	4.1%
S	2	4.1%
Other values (19)	21	42.9%

Cyrillic

Value	Count	Frequency (%)
а	2	16.7%
К	1	8.3%
н	1	8.3%
й	1	8.3%
л	1	8.3%
Т	1	8.3%
в	1	8.3%
и	1	8.3%
о	1	8.3%
Н	1	8.3%

Common

Value	Count	Frequency (%)
	5	62.5%
4	1	12.5%
3	1	12.5%
-	1	12.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	57	82.6%
Cyrillic	12	17.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	6	10.5%
	5	8.8%
M	3	5.3%
c	3	5.3%
a	3	5.3%
T	3	5.3%
r	2	3.5%
i	2	3.5%
A	2	3.5%
k	2	3.5%
Other values (23)	26	45.6%

Cyrillic

Value	Count	Frequency (%)
а	2	16.7%
К	1	8.3%
н	1	8.3%
й	1	8.3%
л	1	8.3%
Т	1	8.3%
в	1	8.3%
и	1	8.3%
о	1	8.3%
Н	1	8.3%

_embedded.show.network.country.name
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct	8
Distinct (%)	100.0%
Missing	73
Missing (%)	90.1%
Memory size	776.0 B

Russian Federation	1
South Africa	1
Egypt	1
Brazil	1
Ukraine	1
Other values (3)	3

Length

Max length	18
Median length	11.5
Mean length	9.625
Min length	5

Characters and Unicode

Total characters	77
Distinct characters	29
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	100.0%

Sample

1st row	Russian Federation
2nd row	South Africa
3rd row	Egypt
4th row	Brazil
5th row	Ukraine

Common Values

Value	Count	Frequency (%)
Russian Federation	1	1.2%
South Africa	1	1.2%
Egypt	1	1.2%
Brazil	1	1.2%
Ukraine	1	1.2%
Netherlands	1	1.2%
United States	1	1.2%
Japan	1	1.2%
(Missing)	73	90.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
russian	1	9.1%
federation	1	9.1%
south	1	9.1%
africa	1	9.1%
egypt	1	9.1%
brazil	1	9.1%
ukraine	1	9.1%
netherlands	1	9.1%
united	1	9.1%
states	1	9.1%

Most occurring characters

Value	Count	Frequency (%)
a	9	11.7%
e	7	9.1%
t	7	9.1%
i	6	7.8%
n	6	7.8%
r	5	6.5%
s	4	5.2%
	3	3.9%
d	3	3.9%
S	2	2.6%
Other values (19)	25	32.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	63	81.8%
Uppercase Letter	11	14.3%
Space Separator	3	3.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	9	14.3%
e	7	11.1%
t	7	11.1%
i	6	9.5%
n	6	9.5%
r	5	7.9%
s	4	6.3%
d	3	4.8%
l	2	3.2%
u	2	3.2%
Other values (9)	12	19.0%

Uppercase Letter

Value	Count	Frequency (%)
S	2	18.2%
U	2	18.2%
N	1	9.1%
B	1	9.1%
R	1	9.1%
E	1	9.1%
A	1	9.1%
F	1	9.1%
J	1	9.1%

Space Separator

Value	Count	Frequency (%)
	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	74	96.1%
Common	3	3.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	9	12.2%
e	7	9.5%
t	7	9.5%
i	6	8.1%
n	6	8.1%
r	5	6.8%
s	4	5.4%
d	3	4.1%
S	2	2.7%
l	2	2.7%
Other values (18)	23	31.1%

Common

Value	Count	Frequency (%)
	3	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	77	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	9	11.7%
e	7	9.1%
t	7	9.1%
i	6	7.8%
n	6	7.8%
r	5	6.5%
s	4	5.2%
	3	3.9%
d	3	3.9%
S	2	2.6%
Other values (19)	25	32.5%

_embedded.show.network.country.code
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct	8
Distinct (%)	100.0%
Missing	73
Missing (%)	90.1%
Memory size	776.0 B

RU	1
ZA	1
EG	1
BR	1
UA	1
Other values (3)	3

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	16
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	100.0%

Sample

1st row	RU
2nd row	ZA
3rd row	EG
4th row	BR
5th row	UA

Common Values

Value	Count	Frequency (%)
RU	1	1.2%
ZA	1	1.2%
EG	1	1.2%
BR	1	1.2%
UA	1	1.2%
NL	1	1.2%
US	1	1.2%
JP	1	1.2%
(Missing)	73	90.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
ru	1	12.5%
za	1	12.5%
eg	1	12.5%
br	1	12.5%
ua	1	12.5%
nl	1	12.5%
us	1	12.5%
jp	1	12.5%

Most occurring characters

Value	Count	Frequency (%)
U	3	18.8%
R	2	12.5%
A	2	12.5%
Z	1	6.2%
E	1	6.2%
G	1	6.2%
B	1	6.2%
N	1	6.2%
L	1	6.2%
S	1	6.2%
Other values (2)	2	12.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	16	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
U	3	18.8%
R	2	12.5%
A	2	12.5%
Z	1	6.2%
E	1	6.2%
G	1	6.2%
B	1	6.2%
N	1	6.2%
L	1	6.2%
S	1	6.2%
Other values (2)	2	12.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
U	3	18.8%
R	2	12.5%
A	2	12.5%
Z	1	6.2%
E	1	6.2%
G	1	6.2%
B	1	6.2%
N	1	6.2%
L	1	6.2%
S	1	6.2%
Other values (2)	2	12.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
U	3	18.8%
R	2	12.5%
A	2	12.5%
Z	1	6.2%
E	1	6.2%
G	1	6.2%
B	1	6.2%
N	1	6.2%
L	1	6.2%
S	1	6.2%
Other values (2)	2	12.5%

_embedded.show.network.country.timezone
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct	8
Distinct (%)	100.0%
Missing	73
Missing (%)	90.1%
Memory size	776.0 B

Asia/Kamchatka	1
Africa/Johannesburg	1
Africa/Cairo	1
America/Noronha	1
Europe/Zaporozhye	1
Other values (3)	3

Length

Max length	19
Median length	15.5
Mean length	14.875
Min length	10

Characters and Unicode

Total characters	119
Distinct characters	32
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	100.0%

Sample

1st row	Asia/Kamchatka
2nd row	Africa/Johannesburg
3rd row	Africa/Cairo
4th row	America/Noronha
5th row	Europe/Zaporozhye

Common Values

Value	Count	Frequency (%)
Asia/Kamchatka	1	1.2%
Africa/Johannesburg	1	1.2%
Africa/Cairo	1	1.2%
America/Noronha	1	1.2%
Europe/Zaporozhye	1	1.2%
Europe/Amsterdam	1	1.2%
America/New_York	1	1.2%
Asia/Tokyo	1	1.2%
(Missing)	73	90.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
asia/kamchatka	1	12.5%
africa/johannesburg	1	12.5%
africa/cairo	1	12.5%
america/noronha	1	12.5%
europe/zaporozhye	1	12.5%
europe/amsterdam	1	12.5%
america/new_york	1	12.5%
asia/tokyo	1	12.5%

Most occurring characters

Value	Count	Frequency (%)
a	14	11.8%
r	12	10.1%
o	11	9.2%
e	8	6.7%
/	8	6.7%
A	7	5.9%
i	7	5.9%
m	5	4.2%
c	5	4.2%
h	4	3.4%
Other values (22)	38	31.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	93	78.2%
Uppercase Letter	17	14.3%
Other Punctuation	8	6.7%
Connector Punctuation	1	0.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	14	15.1%
r	12	12.9%
o	11	11.8%
e	8	8.6%
i	7	7.5%
m	5	5.4%
c	5	5.4%
h	4	4.3%
s	4	4.3%
p	3	3.2%
Other values (11)	20	21.5%

Uppercase Letter

Value	Count	Frequency (%)
A	7	41.2%
N	2	11.8%
E	2	11.8%
Y	1	5.9%
Z	1	5.9%
C	1	5.9%
J	1	5.9%
K	1	5.9%
T	1	5.9%

Other Punctuation

Value	Count	Frequency (%)
/	8	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	110	92.4%
Common	9	7.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	14	12.7%
r	12	10.9%
o	11	10.0%
e	8	7.3%
A	7	6.4%
i	7	6.4%
m	5	4.5%
c	5	4.5%
h	4	3.6%
s	4	3.6%
Other values (20)	33	30.0%

Common

Value	Count	Frequency (%)
/	8	88.9%
_	1	11.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	119	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	14	11.8%
r	12	10.1%
o	11	9.2%
e	8	6.7%
/	8	6.7%
A	7	5.9%
i	7	5.9%
m	5	4.2%
c	5	4.2%
h	4	3.4%
Other values (22)	38	31.9%

_embedded.show.network.officialSite
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	81
Missing (%)	100.0%
Memory size	776.0 B

_embedded.show.webChannel
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	81
Missing (%)	100.0%
Memory size	776.0 B

_embedded.show.image
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	81
Missing (%)	100.0%
Memory size	776.0 B

_embedded.show.dvdCountry.name
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	100.0%
Missing	80
Missing (%)	98.8%
Memory size	776.0 B

Ukraine	1

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	7
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	100.0%

Sample

1st row	Ukraine

Common Values

Value	Count	Frequency (%)
Ukraine	1	1.2%
(Missing)	80	98.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
ukraine	1	100.0%

Most occurring characters

Value	Count	Frequency (%)
U	1	14.3%
k	1	14.3%
r	1	14.3%
a	1	14.3%
i	1	14.3%
n	1	14.3%
e	1	14.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6	85.7%
Uppercase Letter	1	14.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
k	1	16.7%
r	1	16.7%
a	1	16.7%
i	1	16.7%
n	1	16.7%
e	1	16.7%

Uppercase Letter

Value	Count	Frequency (%)
U	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
U	1	14.3%
k	1	14.3%
r	1	14.3%
a	1	14.3%
i	1	14.3%
n	1	14.3%
e	1	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
U	1	14.3%
k	1	14.3%
r	1	14.3%
a	1	14.3%
i	1	14.3%
n	1	14.3%
e	1	14.3%

_embedded.show.dvdCountry.code
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	100.0%
Missing	80
Missing (%)	98.8%
Memory size	776.0 B

UA	1

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	2
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	100.0%

Sample

1st row	UA

Common Values

Value	Count	Frequency (%)
UA	1	1.2%
(Missing)	80	98.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
ua	1	100.0%

Most occurring characters

Value	Count	Frequency (%)
U	1	50.0%
A	1	50.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
U	1	50.0%
A	1	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
U	1	50.0%
A	1	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
U	1	50.0%
A	1	50.0%

_embedded.show.dvdCountry.timezone
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	100.0%
Missing	80
Missing (%)	98.8%
Memory size	776.0 B

Europe/Zaporozhye	1

Length

Max length	17
Median length	17
Mean length	17
Min length	17

Characters and Unicode

Total characters	17
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	100.0%

Sample

1st row	Europe/Zaporozhye

Common Values

Value	Count	Frequency (%)
Europe/Zaporozhye	1	1.2%
(Missing)	80	98.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
europe/zaporozhye	1	100.0%

Most occurring characters

Value	Count	Frequency (%)
o	3	17.6%
r	2	11.8%
p	2	11.8%
e	2	11.8%
E	1	5.9%
u	1	5.9%
/	1	5.9%
Z	1	5.9%
a	1	5.9%
z	1	5.9%
Other values (2)	2	11.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	14	82.4%
Uppercase Letter	2	11.8%
Other Punctuation	1	5.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	3	21.4%
r	2	14.3%
p	2	14.3%
e	2	14.3%
u	1	7.1%
a	1	7.1%
z	1	7.1%
h	1	7.1%
y	1	7.1%

Uppercase Letter

Value	Count	Frequency (%)
E	1	50.0%
Z	1	50.0%

Other Punctuation

Value	Count	Frequency (%)
/	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16	94.1%
Common	1	5.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	3	18.8%
r	2	12.5%
p	2	12.5%
e	2	12.5%
E	1	6.2%
u	1	6.2%
Z	1	6.2%
a	1	6.2%
z	1	6.2%
h	1	6.2%

Common

Value	Count	Frequency (%)
/	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	3	17.6%
r	2	11.8%
p	2	11.8%
e	2	11.8%
E	1	5.9%
u	1	5.9%
/	1	5.9%
Z	1	5.9%
a	1	5.9%
z	1	5.9%
Other values (2)	2	11.8%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	summary	rating.average	image.medium	image.original	_links.self.href	_embedded.show.id	_embedded.show.url	_embedded.show.name	_embedded.show.type	_embedded.show.language	_embedded.show.genres	_embedded.show.status	_embedded.show.runtime	_embedded.show.averageRuntime	_embedded.show.premiered	_embedded.show.ended	_embedded.show.officialSite	_embedded.show.schedule.time	_embedded.show.schedule.days	_embedded.show.rating.average	_embedded.show.weight	_embedded.show.network	_embedded.show.webChannel.id	_embedded.show.webChannel.name	_embedded.show.webChannel.country	_embedded.show.webChannel.officialSite	_embedded.show.dvdCountry	_embedded.show.externals.tvrage	_embedded.show.externals.thetvdb	_embedded.show.externals.imdb	_embedded.show.image.medium	_embedded.show.image.original	_embedded.show.summary	_embedded.show.updated	_embedded.show._links.self.href	_embedded.show._links.previousepisode.href	image	_embedded.show.webChannel.country.name	_embedded.show.webChannel.country.code	_embedded.show.webChannel.country.timezone	_embedded.show._links.nextepisode.href	_embedded.show.network.id	_embedded.show.network.name	_embedded.show.network.country.name	_embedded.show.network.country.code	_embedded.show.network.country.timezone	_embedded.show.network.officialSite	_embedded.show.webChannel	_embedded.show.image	_embedded.show.dvdCountry.name	_embedded.show.dvdCountry.code	_embedded.show.dvdCountry.timezone
0	1972782	https://www.tvmaze.com/episodes/1972782/kontakty-1x28-kontakty-v-telefone-sergea-lazareva-timati-polina-gagarina-vlad-topalov-ida-galic	КОНТАКТЫ в телефоне Сергея Лазарева: Тимати, Полина Гагарина, Влад Топалов, Ида Галич	1	28.0	regular	2020-12-02	12:00	2020-12-02T00:00:00+00:00	38.0	None	NaN	https://static.tvmaze.com/uploads/images/medium_landscape/360/901421.jpg	https://static.tvmaze.com/uploads/images/original_untouched/360/901421.jpg	https://api.tvmaze.com/episodes/1972782	49630	https://www.tvmaze.com/shows/49630/kontakty	Контакты	Game Show	Russian	[]	Running	30.0	42.0	2019-04-03	None	https://www.youtube.com/playlist?list=PLZ1FUdedsrSJubWkFFh5vKHzawzQk1mYI		[Monday]	NaN	22	NaN	21.0	YouTube	NaN	https://www.youtube.com	NaN	NaN	NaN	None	https://static.tvmaze.com/uploads/images/medium_portrait/315/789854.jpg	https://static.tvmaze.com/uploads/images/original_untouched/315/789854.jpg	None	1661485729	https://api.tvmaze.com/shows/49630	https://api.tvmaze.com/episodes/2380515	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1	1979223	https://www.tvmaze.com/episodes/1979223/kotiki-1x03-seria-3	Серия 3	1	3.0	regular	2020-12-02		2020-12-02T00:00:00+00:00	13.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/1979223	52198	https://www.tvmaze.com/shows/52198/kotiki	Котики	Scripted	Russian	[Comedy]	Ended	12.0	12.0	2020-11-30	2020-12-11	http://epic-media.ru/project/kotiki	10:00	[Monday, Tuesday, Wednesday, Thursday, Friday]	NaN	15	NaN	510.0	Epic Media	NaN	None	NaN	NaN	392682.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/355/888089.jpg	https://static.tvmaze.com/uploads/images/original_untouched/355/888089.jpg	None	1637555191	https://api.tvmaze.com/shows/52198	https://api.tvmaze.com/episodes/1986873	NaN	Russian Federation	RU	Asia/Kamchatka	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
2	1971567	https://www.tvmaze.com/episodes/1971567/mermaid-prince-2x07-episode-7	Episode 7	2	7.0	regular	2020-12-02	11:00	2020-12-02T02:00:00+00:00	15.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/1971567	47207	https://www.tvmaze.com/shows/47207/mermaid-prince	Mermaid Prince	Scripted	Korean	[Drama, Romance, Mystery]	Ended	15.0	15.0	2020-04-14	2020-12-10	None	11:00	[Wednesday, Thursday]	NaN	34	NaN	380.0	Seezn	NaN	https://www.seezntv.com/	NaN	NaN	380686.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/283/709704.jpg	https://static.tvmaze.com/uploads/images/original_untouched/283/709704.jpg	<p><b>Mermaid Prince</b> is about Hye Ri, who embarks on a graduation trip to Gangwon Province and meets Woo Hyuk, a mysterious guy who runs a guest house.</p>	1610205155	https://api.tvmaze.com/shows/47207	https://api.tvmaze.com/episodes/1971570	NaN	Korea, Republic of	KR	Asia/Seoul	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
3	1983072	https://www.tvmaze.com/episodes/1983072/wan-sheng-jie-2x10-all-products-funds-were-spent-on-this-episode	All products funds were spent on this episode	2	10.0	regular	2020-12-02	10:00	2020-12-02T02:00:00+00:00	4.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/1983072	48395	https://www.tvmaze.com/shows/48395/wan-sheng-jie	Wan Sheng Jie	Animation	Chinese	[Comedy, Anime, Supernatural]	Running	4.0	4.0	2020-04-01	None	https://v.qq.com/detail/a/awnia0n2erqryf3.html	10:00	[Wednesday]	NaN	16	NaN	104.0	Tencent QQ	NaN	https://v.qq.com/	NaN	NaN	380207.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/259/648137.jpg	https://static.tvmaze.com/uploads/images/original_untouched/259/648137.jpg	<p>The pure and cute little devil Nini lives in Room 1031 of Wan Sheng Street Apartment. His roommates are no ordinary people: The lazy and wacky vampire Ira who spends most of his time gaming or watching TV, the unlucky dancer werewolf Vladimir, the serious and old-fashioned angel landlord Lynn and his naive little sister Lily, and many more.<br /><br />What none of them realize is that the power of the demon king is sleeping inside of Nini. With evil forces in hot pursuit, can Nini and his friends head off disaster?</p>	1647193542	https://api.tvmaze.com/shows/48395	https://api.tvmaze.com/episodes/2280228	NaN	China	CN	Asia/Shanghai	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
4	2386103	https://www.tvmaze.com/episodes/2386103/xian-feng-jian-yu-lu-1x44-episode-44	Episode 44	1	44.0	regular	2020-12-02	10:00	2020-12-02T02:00:00+00:00	8.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2386103	49206	https://www.tvmaze.com/shows/49206/xian-feng-jian-yu-lu	Xian Feng Jian Yu Lu	Animation	Chinese	[Action, Anime, Fantasy, Supernatural]	Running	8.0	7.0	2020-07-11	None	https://v.qq.com/detail/m/mzc00200hc38s5x.html	10:00	[Wednesday, Saturday]	NaN	62	NaN	104.0	Tencent QQ	NaN	https://v.qq.com/	NaN	NaN	386423.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/270/675333.jpg	https://static.tvmaze.com/uploads/images/original_untouched/270/675333.jpg	<p>In ancient Shenzhou, humans and demons had been in constant dispute for thousands of years. The demon princess from Tushan, Bai Binglan, and the human Zhang Kuangyun met each other due to a misunderstanding. In order to investigate the enemy country, Bai Binglan became Zhang Kuangyun's companion. As they travel together, Zhang Kuangyun discovers a conspiracy...</p>	1662275668	https://api.tvmaze.com/shows/49206	https://api.tvmaze.com/episodes/2386129	NaN	China	CN	Asia/Shanghai	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
5	1985615	https://www.tvmaze.com/episodes/1985615/yi-nian-yong-heng-1x19-episode-19	Episode 19	1	19.0	regular	2020-12-02	10:00	2020-12-02T02:00:00+00:00	19.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/1985615	49652	https://www.tvmaze.com/shows/49652/yi-nian-yong-heng	Yi Nian Yong Heng	Animation	Chinese	[Comedy, Action, Anime, Fantasy]	Running	19.0	19.0	2020-08-12	None	https://v.qq.com/detail/w/ww18u675tfmhas6.html	10:00	[Wednesday]	NaN	56	NaN	104.0	Tencent QQ	NaN	https://v.qq.com/	NaN	NaN	388680.0	tt13695606	https://static.tvmaze.com/uploads/images/medium_portrait/267/669816.jpg	https://static.tvmaze.com/uploads/images/original_untouched/267/669816.jpg	<p>One will to create oceans. One will to summon the mulberry fields.<br /><br />One will to slaughter countless devils. One will to eradicate innumerable immortals.<br /><br />Only my will… is eternal.<br /><br />A Will Eternal tells the tale of Bai Xiaochun, an endearing but exasperating young man who is driven primarily by his fear of death and desire to live forever, but who deeply values friendship and family.<br /><br />(Source: Novel Updates)</p>	1660662594	https://api.tvmaze.com/shows/49652	https://api.tvmaze.com/episodes/2374448	NaN	China	CN	Asia/Shanghai	https://api.tvmaze.com/episodes/2374449	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
6	2030018	https://www.tvmaze.com/episodes/2030018/dolls-frontline-2x10-episode-10	Episode 10	2	10.0	regular	2020-12-02	12:00	2020-12-02T04:00:00+00:00	5.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2030018	45713	https://www.tvmaze.com/shows/45713/dolls-frontline	Dolls' Frontline	Animation	Chinese	[Comedy, Anime, Science-Fiction]	Ended	5.0	5.0	2019-07-28	2020-12-16	https://www.bilibili.com/bangumi/media/md28229895	12:00	[Wednesday]	NaN	20	NaN	51.0	Bilibili	NaN	None	NaN	NaN	373360.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/234/587413.jpg	https://static.tvmaze.com/uploads/images/original_untouched/234/587413.jpg	<p>Re-imagines famous firearms as moe girls with machine bodies that are known as T-Dolls.</p>	1613086641	https://api.tvmaze.com/shows/45713	https://api.tvmaze.com/episodes/2030020	NaN	China	CN	Asia/Shanghai	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
7	1973540	https://www.tvmaze.com/episodes/1973540/please-wait-brother-1x19-episode-19	Episode 19	1	19.0	regular	2020-12-02	12:00	2020-12-02T04:00:00+00:00	37.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/1973540	52038	https://www.tvmaze.com/shows/52038/please-wait-brother	Please Wait, Brother	Scripted	Chinese	[Comedy]	Ended	37.0	37.0	2020-11-17	2020-12-08	None	12:00	[Tuesday, Wednesday, Thursday]	NaN	21	NaN	104.0	Tencent QQ	NaN	https://v.qq.com/	NaN	NaN	NaN	None	https://static.tvmaze.com/uploads/images/medium_portrait/284/711240.jpg	https://static.tvmaze.com/uploads/images/original_untouched/284/711240.jpg	None	1607697965	https://api.tvmaze.com/shows/52038	https://api.tvmaze.com/episodes/1973545	NaN	China	CN	Asia/Shanghai	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
8	1973541	https://www.tvmaze.com/episodes/1973541/please-wait-brother-1x20-episode-20	Episode 20	1	20.0	regular	2020-12-02	12:00	2020-12-02T04:00:00+00:00	37.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/1973541	52038	https://www.tvmaze.com/shows/52038/please-wait-brother	Please Wait, Brother	Scripted	Chinese	[Comedy]	Ended	37.0	37.0	2020-11-17	2020-12-08	None	12:00	[Tuesday, Wednesday, Thursday]	NaN	21	NaN	104.0	Tencent QQ	NaN	https://v.qq.com/	NaN	NaN	NaN	None	https://static.tvmaze.com/uploads/images/medium_portrait/284/711240.jpg	https://static.tvmaze.com/uploads/images/original_untouched/284/711240.jpg	None	1607697965	https://api.tvmaze.com/shows/52038	https://api.tvmaze.com/episodes/1973545	NaN	China	CN	Asia/Shanghai	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
9	2066367	https://www.tvmaze.com/episodes/2066367/chu-feng-yi-dian-shizi-1x04-episode-4	Episode 4	1	4.0	regular	2020-12-02		2020-12-02T04:00:00+00:00	30.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2066367	54637	https://www.tvmaze.com/shows/54637/chu-feng-yi-dian-shizi	Chu Feng: Yi Dian Shizi	Animation	Chinese	[Action]	Ended	30.0	30.0	2020-11-18	2021-01-27	http://weibo.com/u/6516179447		[Wednesday]	NaN	8	NaN	118.0	Youku	NaN	None	NaN	NaN	395235.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/305/764244.jpg	https://static.tvmaze.com/uploads/images/original_untouched/305/764244.jpg	<p>Ordinary high school student Haoxuan Sun was taken hostage in a seemingly robbery and rescued by a girl wearing winged battledress with bee bionics designs. Haoxuan Sun's peaceful life was stirred by the girl – human bioengineering weapon Vanguard Liuli. Discovered that he is the "Son of Eden" wanted by all the great powers, Haoxuan Sun and Liuli have been searching for the truth and fight against the so-called destiny. At the same time, people around Haoxuan Sun, senpai Ye Bai who he has a crash on, his best friend, and many others, were discovered to have a second identities.<br /><br />The new BEE anime is based on the original manga plot. In addition, BEE manga's author Baimao personally joined the production team. The new BEE will also include two subplots entirely new to the viewers.</p>	1617983545	https://api.tvmaze.com/shows/54637	https://api.tvmaze.com/episodes/2066376	NaN	China	CN	Asia/Shanghai	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN

Last rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	summary	rating.average	image.medium	image.original	_links.self.href	_embedded.show.id	_embedded.show.url	_embedded.show.name	_embedded.show.type	_embedded.show.language	_embedded.show.genres	_embedded.show.status	_embedded.show.runtime	_embedded.show.averageRuntime	_embedded.show.premiered	_embedded.show.ended	_embedded.show.officialSite	_embedded.show.schedule.time	_embedded.show.schedule.days	_embedded.show.rating.average	_embedded.show.weight	_embedded.show.network	_embedded.show.webChannel.id	_embedded.show.webChannel.name	_embedded.show.webChannel.country	_embedded.show.webChannel.officialSite	_embedded.show.dvdCountry	_embedded.show.externals.tvrage	_embedded.show.externals.thetvdb	_embedded.show.externals.imdb	_embedded.show.image.medium	_embedded.show.image.original	_embedded.show.summary	_embedded.show.updated	_embedded.show._links.self.href	_embedded.show._links.previousepisode.href	image	_embedded.show.webChannel.country.name	_embedded.show.webChannel.country.code	_embedded.show.webChannel.country.timezone	_embedded.show._links.nextepisode.href	_embedded.show.network.id	_embedded.show.network.name	_embedded.show.network.country.name	_embedded.show.network.country.code	_embedded.show.network.country.timezone	_embedded.show.network.officialSite	_embedded.show.webChannel	_embedded.show.image	_embedded.show.dvdCountry.name	_embedded.show.dvdCountry.code	_embedded.show.dvdCountry.timezone
71	2036614	https://www.tvmaze.com/episodes/2036614/the-bump-2x60-the-bump-72	The Bump 72	2	60.0	regular	2020-12-02	10:00	2020-12-02T15:00:00+00:00	30.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2036614	44660	https://www.tvmaze.com/shows/44660/the-bump	The Bump	Talk Show	English	[Sports]	Running	30.0	30.0	2019-10-02	None	https://watch.wwe.com/original/WWEs-The-Bump-107410	10:00	[Wednesday]	NaN	59	NaN	15.0	WWE Network	NaN	None	NaN	NaN	371044.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/411/1028717.jpg	https://static.tvmaze.com/uploads/images/original_untouched/411/1028717.jpg	<p>WWE's <b>The Bump</b> is unlike any WWE show you've ever seen before, featuring a dynamic cast of hosts--led by Kayla Braxton--and WWE Superstars stopping in weekly, both as in-studio and video call-in guests.</p>	1659877842	https://api.tvmaze.com/shows/44660	https://api.tvmaze.com/episodes/2371592	NaN	United States	US	America/New_York	https://api.tvmaze.com/episodes/2371586	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
72	1980718	https://www.tvmaze.com/episodes/1980718/sj-returns-4x77-episode-77	Episode 77	4	77.0	regular	2020-12-02	00:00	2020-12-02T15:00:00+00:00	5.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/1980718	52250	https://www.tvmaze.com/shows/52250/sj-returns	SJ Returns	Reality	Korean	[]	Running	5.0	5.0	2017-10-09	None	https://tv.naver.com/sjreturns	00:00	[Monday, Wednesday, Friday]	NaN	15	NaN	30.0	Naver TVCast	NaN	https://tv.naver.com/	NaN	NaN	336628.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/286/716978.jpg	https://static.tvmaze.com/uploads/images/original_untouched/286/716978.jpg	<p>This show will follow Super Junior's everyday life.</p>	1613088348	https://api.tvmaze.com/shows/52250	https://api.tvmaze.com/episodes/2030085	NaN	Korea, Republic of	KR	Asia/Seoul	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
73	2192622	https://www.tvmaze.com/episodes/2192622/diti-proti-zirok-2x09-vypusk-9-tayanna-aleksandr-pedan-roman-miserakov	Выпуск 9 (TAYANNA, Александр Педан, Роман Мищеряков)	2	9.0	regular	2020-12-02	19:00	2020-12-02T17:00:00+00:00	90.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2192622	44675	https://www.tvmaze.com/shows/44675/diti-proti-zirok	Діти проти зірок	Game Show	Ukrainian	[Action, Family]	Running	90.0	90.0	2019-09-25	None	https://novy.tv/ua/deti-protiv-zvezd/	19:00	[Wednesday]	NaN	22	NaN	21.0	YouTube	NaN	https://www.youtube.com	NaN	NaN	NaN	None	https://static.tvmaze.com/uploads/images/medium_portrait/365/913800.jpg	https://static.tvmaze.com/uploads/images/original_untouched/365/913800.jpg	None	1640952799	https://api.tvmaze.com/shows/44675	https://api.tvmaze.com/episodes/2245693	NaN	NaN	NaN	NaN	NaN	402.0	Новий Канал	Ukraine	UA	Europe/Zaporozhye	NaN	NaN	NaN	Ukraine	UA	Europe/Zaporozhye
74	1977756	https://www.tvmaze.com/episodes/1977756/tooning-out-the-news-1x106-hot-take	"Hot Take"	1	106.0	regular	2020-12-02		2020-12-02T17:00:00+00:00	7.0	<p>Ronan Farrow enters the Hot Take octagon to discuss the rigged election, Trump's masterful Covid response, and the Me Too movement. </p>	NaN	NaN	NaN	https://api.tvmaze.com/episodes/1977756	45812	https://www.tvmaze.com/shows/45812/tooning-out-the-news	Tooning Out the News	Animation	English	[Comedy]	Running	NaN	13.0	2020-04-07	None	https://www.paramountplus.com/shows/tooning-out-the-news/		[Monday, Tuesday, Wednesday, Thursday, Friday]	NaN	41	NaN	107.0	Paramount+	NaN	https://www.paramountplus.com/	NaN	NaN	375994.0	tt12026652	https://static.tvmaze.com/uploads/images/medium_portrait/245/614061.jpg	https://static.tvmaze.com/uploads/images/original_untouched/245/614061.jpg	<p><b>Tooning Out the News</b> will provide short daily segments leading up to a weekly full episodes featuring a cast of animated characters mocking news of the day, and interviewing real-world guests and newsmakers.</p>	1636747761	https://api.tvmaze.com/shows/45812	https://api.tvmaze.com/episodes/2215367	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
75	2135009	https://www.tvmaze.com/episodes/2135009/dimension-20-7x04-we-need-to-talk-about-cody	We Need to Talk About Cody	7	4.0	regular	2020-12-02		2020-12-02T17:00:00+00:00	NaN	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2135009	56531	https://www.tvmaze.com/shows/56531/dimension-20	Dimension 20	Game Show	English	[Comedy, Adventure, Fantasy]	Running	NaN	NaN	2018-09-12	None	https://www.dropout.tv/dimension-20	19:00	[Wednesday]	NaN	78	NaN	311.0	Dropout	NaN	None	NaN	NaN	354216.0	tt9646546	https://static.tvmaze.com/uploads/images/medium_portrait/342/856895.jpg	https://static.tvmaze.com/uploads/images/original_untouched/342/856895.jpg	<p>Heed the call of adventure and enter <b>Dimension 20</b> where Game Master Brennan Lee Mulligan, joined by comedians and pro gamers, blends comedy with tabletop RPGs.</p>	1661872561	https://api.tvmaze.com/shows/56531	https://api.tvmaze.com/episodes/2382501	NaN	United States	US	America/New_York	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
76	1960029	https://www.tvmaze.com/episodes/1960029/goede-tijden-slechte-tijden-31x55-aflevering-6310	Aflevering 6310	31	55.0	regular	2020-12-02	20:00	2020-12-02T19:00:00+00:00	23.0	None	NaN	https://static.tvmaze.com/uploads/images/medium_landscape/285/712959.jpg	https://static.tvmaze.com/uploads/images/original_untouched/285/712959.jpg	https://api.tvmaze.com/episodes/1960029	2504	https://www.tvmaze.com/shows/2504/goede-tijden-slechte-tijden	Goede Tijden, Slechte Tijden	Scripted	Dutch	[Drama, Romance]	Running	23.0	25.0	1990-10-01	None	http://gtst.nl/#!/	20:00	[Monday, Tuesday, Wednesday, Thursday]	NaN	83	NaN	NaN	NaN	NaN	NaN	NaN	19056.0	104271.0	tt0096597	https://static.tvmaze.com/uploads/images/medium_portrait/332/830481.jpg	https://static.tvmaze.com/uploads/images/original_untouched/332/830481.jpg	None	1662346277	https://api.tvmaze.com/shows/2504	https://api.tvmaze.com/episodes/2379702	NaN	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2379703	112.0	RTL4	Netherlands	NL	Europe/Amsterdam	NaN	NaN	NaN	NaN	NaN	NaN
77	1979362	https://www.tvmaze.com/episodes/1979362/rooneys-last-roll-1x04-memories	Memories	1	4.0	regular	2020-12-02	15:00	2020-12-02T20:00:00+00:00	9.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/1979362	51888	https://www.tvmaze.com/shows/51888/rooneys-last-roll	Rooney's Last Roll	Scripted	English	[Drama, Comedy, Romance]	Ended	8.0	8.0	2020-11-11	2020-12-02	https://www.youtube.com/playlist?list=PLVewHiZp3_LOgHGEQGGMplwBIs9hU7smb	15:00	[Wednesday]	NaN	21	NaN	274.0	Brat	NaN	None	NaN	NaN	391739.0	tt13419326	https://static.tvmaze.com/uploads/images/medium_portrait/294/737014.jpg	https://static.tvmaze.com/uploads/images/original_untouched/294/737014.jpg	<p>When an old film roll goes missing at the film lab, an unexpected connection with a stranger helps Rooney confront her heartbreak and learn to move on.</p>	1612024402	https://api.tvmaze.com/shows/51888	https://api.tvmaze.com/episodes/1979362	NaN	United States	US	America/New_York	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
78	1958865	https://www.tvmaze.com/episodes/1958865/wwe-nxt-14x49-main-event-raquel-gonzalez-vs-shotzi-blackheart-in-a-wargames-advantage-ladder-match	Main Event: Raquel Gonzalez vs. Shotzi Blackheart in a WarGames Advantage Ladder Match	14	49.0	regular	2020-12-02	20:00	2020-12-03T01:00:00+00:00	121.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/1958865	2266	https://www.tvmaze.com/shows/2266/wwe-nxt	WWE NXT	Sports	English	[]	Running	120.0	77.0	2010-02-23	None	http://www.wwe.com/inside/networkschedule	20:00	[Tuesday]	7.2	92	NaN	15.0	WWE Network	NaN	None	NaN	25100.0	144541.0	tt1601141	https://static.tvmaze.com/uploads/images/medium_portrait/401/1002762.jpg	https://static.tvmaze.com/uploads/images/original_untouched/401/1002762.jpg	<p>Each Wednesday at 8:00 p.m. ET, WWE Superstars and Divas of tomorrow face off on <b>WWE NXT</b><i>,</i> a one-hour weekly show that features the brightest and best of WWE's rising stars. WWE NXT showcases the Superstars and Divas from WWE's Performance Center as well as appearances from WWE Superstars and Legends in an intimate setting. WWE NXT broadcasts from the state-of-the-art Full Sail LIVE venue on the Full Sail University in campus in Orlando, Florida.</p>	1661969159	https://api.tvmaze.com/shows/2266	https://api.tvmaze.com/episodes/2383154	NaN	United States	US	America/New_York	https://api.tvmaze.com/episodes/2367107	30.0	USA Network	United States	US	America/New_York	NaN	NaN	NaN	NaN	NaN	NaN
79	1976920	https://www.tvmaze.com/episodes/1976920/ruth-ruby-virtual-sleepover-challenges-2020-12-02-holiday-jingle-wrap-challenge	Holiday Jingle Wrap Challenge	2020	8.0	regular	2020-12-02	21:25	2020-12-03T02:25:00+00:00	5.0	<p>Happy Holidays! BFFs Ruby Rose Turner (Coop & Cami Ask the World), Ruth Righi (Sydney to the Max), and special guest Issac Ryan Brown (Raven's Home) compete to see who can wrap the most gifts using oven mits and then unwrap them without making any noise!</p>	NaN	https://static.tvmaze.com/uploads/images/medium_landscape/382/956554.jpg	https://static.tvmaze.com/uploads/images/original_untouched/382/956554.jpg	https://api.tvmaze.com/episodes/1976920	45434	https://www.tvmaze.com/shows/45434/ruth-ruby-virtual-sleepover-challenges	Ruth & Ruby Virtual Sleepover Challenges	Talk Show	English	[Comedy, Children, DIY]	Running	12.0	6.0	2019-08-09	None	https://disneynow.com/shows/ruth-and-ruby-virtual-sleepover-challenges	21:25	[Wednesday]	NaN	22	NaN	83.0	DisneyNOW	NaN	None	NaN	NaN	NaN	None	https://static.tvmaze.com/uploads/images/medium_portrait/285/714446.jpg	https://static.tvmaze.com/uploads/images/original_untouched/285/714446.jpg	<p>Grab your sleeping bag and join BFFs Ruby Rose Turner (Coop & Cami Ask the World) and Ruth Righi (Sydney to the Max) for the ultimate sleepover!</p>	1639237512	https://api.tvmaze.com/shows/45434	https://api.tvmaze.com/episodes/1976924	NaN	United States	US	America/New_York	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
80	1945144	https://www.tvmaze.com/episodes/1945144/noblesse-1x09-blood-contract-devote	Blood Contract / Devote	1	9.0	regular	2020-12-02	00:00	2020-12-03T05:00:00+00:00	25.0	<p>Raizel and Frankenstein first met in Lukedonia, the country of nobles. Raizel took Frankenstein, who was a noble hunter at the time, into his mansion to work as his butler. Frankenstein protected him for several years, but then some among the nobility who had unfavorable opinions of the duo began to revolt. What decision did Frankenstein and Raizel reach in response to this conflict?</p>	NaN	https://static.tvmaze.com/uploads/images/medium_landscape/287/718142.jpg	https://static.tvmaze.com/uploads/images/original_untouched/287/718142.jpg	https://api.tvmaze.com/episodes/1945144	49732	https://www.tvmaze.com/shows/49732/noblesse	Noblesse	Animation	Japanese	[Anime, Supernatural]	Ended	25.0	25.0	2015-12-04	2020-12-30	https://noblesse-anime.com/	00:00	[Wednesday]	NaN	44	NaN	20.0	Crunchyroll	NaN	None	NaN	NaN	386818.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/268/670751.jpg	https://static.tvmaze.com/uploads/images/original_untouched/268/670751.jpg	<p>Raizel awakens from his 820-year slumber. He holds the special title of Noblesse, a pure-blooded Noble and protector of all other Nobles. In an attempt to protect Raizel, his servant Frankenstein enrolls him at Ye Ran High School, where Raizel learns the simple and quotidian routines of the human world through his classmates. However, the Union, a secret society plotting to take over the world, dispatches modified humans and gradually encroaches on Raizel's life, causing him to wield his mighty power to protect those around him... After 820 years of intrigue, the secrets behind his slumber are finally revealed, and Raizel's absolute protection as the Noblesse begins!</p>	1648716882	https://api.tvmaze.com/shows/49732	https://api.tvmaze.com/episodes/1985214	NaN	NaN	NaN	NaN	NaN	132.0	Tokyo MX	Japan	JP	Asia/Tokyo	NaN	NaN	NaN	NaN	NaN	NaN

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